Triple
T16691494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro Line 8 |
E405602
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object |
Mexico City Metro NM-02 trains
Mexico City Metro NM-02 trains are a series of electric multiple-unit subway cars specifically built to operate on Mexico City’s metro system, featuring modernized design and equipment suited to its high-capacity urban lines.
|
E1231357
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mexico City Metro NM-02 trains | Statement: [Mexico City Metro Line 8, usesRollingStock, Mexico City Metro NM-02 trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mexico City Metro NM-02 trains Context triple: [Mexico City Metro Line 8, usesRollingStock, Mexico City Metro NM-02 trains]
-
A.
Mexico City Metro NM-79 trains
Mexico City Metro NM-79 trains are a series of electric multiple-unit subway cars specifically built for and operated on the Mexico City Metro system.
-
B.
Mexico City Metro NM-83 trains
Mexico City Metro NM-83 trains are a series of electric multiple-unit subway cars specifically built for and operated on Mexico City’s metro system.
-
C.
Mexico City light rail
Mexico City light rail is a light rail transit system serving several southern districts of Mexico City, providing an intermediate-capacity link between the metro network and surface transport.
-
D.
Metro de la Ciudad de México
Metro de la Ciudad de México is the extensive rapid transit system serving Mexico City and parts of the State of Mexico, known as one of the busiest metro networks in the world.
-
E.
public transportation network of Mexico City
The public transportation network of Mexico City is an extensive, multimodal urban transit system that includes metro, buses, trolleybuses, bus rapid transit, and suburban rail serving one of the world’s largest metropolitan areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mexico City Metro NM-02 trains Triple: [Mexico City Metro Line 8, usesRollingStock, Mexico City Metro NM-02 trains]
Generated description
Mexico City Metro NM-02 trains are a series of electric multiple-unit subway cars specifically built to operate on Mexico City’s metro system, featuring modernized design and equipment suited to its high-capacity urban lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mexico City Metro NM-02 trains Target entity description: Mexico City Metro NM-02 trains are a series of electric multiple-unit subway cars specifically built to operate on Mexico City’s metro system, featuring modernized design and equipment suited to its high-capacity urban lines.
-
A.
Mexico City Metro NM-79 trains
Mexico City Metro NM-79 trains are a series of electric multiple-unit subway cars specifically built for and operated on the Mexico City Metro system.
-
B.
Mexico City Metro NM-83 trains
Mexico City Metro NM-83 trains are a series of electric multiple-unit subway cars specifically built for and operated on Mexico City’s metro system.
-
C.
Mexico City light rail
Mexico City light rail is a light rail transit system serving several southern districts of Mexico City, providing an intermediate-capacity link between the metro network and surface transport.
-
D.
Metro de la Ciudad de México
Metro de la Ciudad de México is the extensive rapid transit system serving Mexico City and parts of the State of Mexico, known as one of the busiest metro networks in the world.
-
E.
public transportation network of Mexico City
The public transportation network of Mexico City is an extensive, multimodal urban transit system that includes metro, buses, trolleybuses, bus rapid transit, and suburban rail serving one of the world’s largest metropolitan areas.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea99bac8190a6c559ed7b7d8ecd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51169b881909216ab1055752978 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5d2f09c8190a899b61f22a2e6f7 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6318a80819082b26f0cbb1499f4 |
completed | May 10, 2026, 3:37 p.m. |
Created at: April 10, 2026, 5:19 a.m.