Triple
T2160014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Line 3 |
E47977
|
entity |
| Predicate | hasRollingStockType |
P1305
|
FINISHED |
| Object |
NM-79
NM-79 is a model of electric multiple unit rolling stock used to operate services on Mexico City Metro Line 3.
|
E241642
|
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: NM-79 | Statement: [Metro Line 3, hasRollingStockType, NM-79]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NM-79 Context triple: [Metro Line 3, hasRollingStockType, NM-79]
-
A.
NM-73
NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
-
B.
NM-02
NM-02 is a type of electric multiple unit rolling stock used to operate services on Metro Line 3.
-
C.
NM-83B
NM-83B is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
-
D.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
-
E.
NP7
NP7 is a UK postal district within the NP (Newport) postcode area, covering Abergavenny and surrounding parts of Monmouthshire in south-east Wales.
- 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: NM-79 Triple: [Metro Line 3, hasRollingStockType, NM-79]
Generated description
NM-79 is a model of electric multiple unit rolling stock used to operate services on Mexico City Metro Line 3.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NM-79 Target entity description: NM-79 is a model of electric multiple unit rolling stock used to operate services on Mexico City Metro Line 3.
-
A.
NM-73
NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
-
B.
NM-02
NM-02 is a type of electric multiple unit rolling stock used to operate services on Metro Line 3.
-
C.
NM-83B
NM-83B is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
-
D.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
-
E.
NP7
NP7 is a UK postal district within the NP (Newport) postcode area, covering Abergavenny and surrounding parts of Monmouthshire in south-east Wales.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8894d481908eda9363fd36fea6 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d98286c8190a6890e2c7daa10b5 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e30a69c8190a3f77e784401f671 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea4edcc81908829e4bd64ce0aea |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.