Triple
T9118814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Mexico City Metro) |
E218789
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Copilco |
E241594
|
NE FINISHED |
How this triple was built (2 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: Copilco | Statement: [Line 3 (Mexico City Metro), hasStation, Copilco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copilco Context triple: [Line 3 (Mexico City Metro), hasStation, Copilco]
-
A.
Copilco
chosen
Copilco is a station on Mexico City’s Metro system, serving the Copilco neighborhood near the National Autonomous University of Mexico (UNAM).
-
B.
Tuxpam
Tuxpam is an alternative spelling of Tuxpan, a coastal city and important port in the Mexican state of Veracruz.
-
C.
Tecolotlán
Tecolotlán is a municipality and town in the state of Jalisco, Mexico, known for its rural landscapes, traditional culture, and location within the Sierra de Amula region.
-
D.
Teuchitlán
Teuchitlán is a town in the state of Jalisco, Mexico, best known for its nearby pre-Hispanic circular pyramid complex known as the Guachimontones archaeological site.
-
E.
Tezoyuca
Tezoyuca is a municipality in the State of Mexico, known for its location in the central Mexican plateau and its blend of rural traditions with growing urban development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0544c06ec8190917707d75db7e9c5 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:17 p.m.