Triple
T9226270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro |
E221689
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Tren Suburbano |
E232060
|
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: Tren Suburbano | Statement: [Mexico City Metro, connectsWith, Tren Suburbano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tren Suburbano Context triple: [Mexico City Metro, connectsWith, Tren Suburbano]
-
A.
Tren Urbano
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
-
B.
Ferrocarril Suburbano
chosen
Ferrocarril Suburbano is a commuter rail system serving the Mexico City metropolitan area, connecting the city center with several northern suburbs.
-
C.
Tren Ligero
Tren Ligero is a light rail transit system in Mexico City that complements the metro and bus networks by serving southern areas of the city.
-
D.
Subte
Subte is the rapid transit metro system serving Buenos Aires, Argentina, and one of the oldest underground rail networks in Latin America.
-
E.
Mi Tren
Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9ecef48190b8aa0e316d07cec7 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0779de5a88190b6a9266c976e05b1 |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:28 p.m.