Triple
T6496494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Madrid Metro) |
E148172
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | La Latina |
E591454
|
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: La Latina | Statement: [Line 5 (Madrid Metro), hasStation, La Latina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Latina Context triple: [Line 5 (Madrid Metro), hasStation, La Latina]
-
A.
La Latina
chosen
La Latina is a historic and lively neighborhood in central Madrid known for its narrow medieval streets, tapas bars, and popular Sunday flea market, El Rastro.
-
B.
Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
-
C.
Cívitas
Cívitas is a Spanish real estate and urban development company known for its naming-rights sponsorship of Atlético Madrid’s Metropolitano Stadium.
-
D.
Diez
Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
-
E.
Tasqueña
Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06aba8f04819080b291baf79c42d5 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fdf59548190b4ba4f44716e6b3c |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:53 p.m.