Triple
T20157867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro de la Ciudad de México |
E491620
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Línea B |
—
|
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 B | Statement: [Metro de la Ciudad de México, hasLine, Línea B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Línea B Context triple: [Metro de la Ciudad de México, hasLine, Línea B]
-
A.
Línea E
Línea E is a line of the Buenos Aires Underground that serves several neighborhoods in Argentina’s capital as part of its metro system.
-
B.
Metro Line B
chosen
Metro Line B is a rapid transit line that forms part of the Mexico City Metro network.
-
C.
Línea 2
Línea 2 is a metro line that forms part of an urban rapid transit network and connects with other lines, including Línea 6, at designated interchange stations.
-
D.
Nord-Sud Line B
Nord-Sud Line B was the original name of what is now Paris Métro Line 13, a major north–south subway line in the French capital.
-
E.
Line B of Buenos Aires Underground
Line B of the Buenos Aires Underground is a major metro line that runs primarily beneath Avenida Corrientes, connecting the city center with several western neighborhoods and serving key commercial and cultural areas.
- 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.