Triple
T13462720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro Line 12 stations |
E311411
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Olivos |
E1041634
|
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: Olivos | Statement: [Mexico City Metro Line 12 stations, hasStation, Olivos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivos Context triple: [Mexico City Metro Line 12 stations, hasStation, Olivos]
-
A.
Olivos
chosen
Olivos is a metro station in Mexico City that serves Line 12 of the city’s rapid transit system.
-
B.
Villacarrillo
Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
-
C.
Tlaquepaque
Tlaquepaque is a historic city in the Guadalajara metropolitan area of Jalisco, Mexico, renowned for its traditional pottery, handicrafts, and vibrant arts scene.
-
D.
Lerdo
Lerdo is a municipality and city in the Mexican state of Durango, known for its agricultural production and location within the Comarca Lagunera metropolitan area.
-
E.
Los Olivos
Los Olivos is a predominantly residential and commercial district in northern Lima, Peru, known for its growing middle-class population and active retail and educational hubs.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462522c88190a6a6e2e2292e2414 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:41 p.m.