Triple
T10299756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copilco |
E241594
|
entity |
| Predicate | hasExitTo |
P29827
|
FINISHED |
| Object |
Eje 10 Sur
Eje 10 Sur is a major east–west thoroughfare in Mexico City that runs through several southern neighborhoods and connects important residential and university areas.
|
E856357
|
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: Eje 10 Sur | Statement: [Copilco, hasExitTo, Eje 10 Sur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eje 10 Sur Context triple: [Copilco, hasExitTo, Eje 10 Sur]
-
A.
Eje 5 Sur
Eje 5 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
-
B.
Eje 6 Sur
Eje 6 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
-
C.
Eje 3 Sur
Eje 3 Sur is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
-
D.
Eje 4 Sur
Eje 4 Sur is a major east–west arterial corridor in Mexico City that serves as an important route for public transportation and urban mobility.
-
E.
Eje 1 Sur
Eje 1 Sur is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
- 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: Eje 10 Sur Triple: [Copilco, hasExitTo, Eje 10 Sur]
Generated description
Eje 10 Sur is a major east–west thoroughfare in Mexico City that runs through several southern neighborhoods and connects important residential and university areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eje 10 Sur Target entity description: Eje 10 Sur is a major east–west thoroughfare in Mexico City that runs through several southern neighborhoods and connects important residential and university areas.
-
A.
Eje 5 Sur
Eje 5 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
-
B.
Eje 6 Sur
Eje 6 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
-
C.
Eje 3 Sur
Eje 3 Sur is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
-
D.
Eje 4 Sur
Eje 4 Sur is a major east–west arterial corridor in Mexico City that serves as an important route for public transportation and urban mobility.
-
E.
Eje 1 Sur
Eje 1 Sur is a major east–west arterial road in Mexico City that forms part of the city’s structured “eje vial” traffic network.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ee10f88190b1615c49b8f24a26 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d3f2c2c8190a71e4a896d8753e7 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d7318402f08190b655bdddbd97ecb9 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d734473ef48190852dbe48742a4273 |
completed | April 9, 2026, 5:08 a.m. |
Created at: April 6, 2026, 11:44 a.m.