Triple
T20157865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro de la Ciudad de México |
E491620
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Línea 9 |
—
|
NE NERFINISHED |
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: Línea 9 | Statement: [Metro de la Ciudad de México, hasLine, Línea 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Línea 9 Context triple: [Metro de la Ciudad de México, hasLine, Línea 9]
-
A.
Línea 8
Línea 8 is one of the main lines of the Mexico City Metro system, running in a north–south direction and serving several central and southeastern neighborhoods of the city.
-
B.
Línea 6
Línea 6 is a modern, fully automated metro line in Santiago, Chile, known for its advanced technology, safety features, and connection between key residential and commercial areas of the city.
-
C.
Línea 6
Línea 6 is a circular line of the Madrid Metro that loops around the city, connecting many major transfer stations and neighborhoods.
-
D.
Línea 7
Línea 7 is one of the main lines of the Mexico City Metro, running on a north–south axis and serving several important residential and commercial areas.
-
E.
Metro Line 9
chosen
Metro Line 9 is a rapid transit line that forms part of the Mexico City Metro system, serving key neighborhoods and providing important transfer connections within the network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e18a0c8190a2cc2b305da28047 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.