Triple
T6639298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 7 (Madrid Metro) |
E150543
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Argüelles |
E533334
|
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: Argüelles | Statement: [Line 7 (Madrid Metro), hasStation, Argüelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argüelles Context triple: [Line 7 (Madrid Metro), hasStation, Argüelles]
-
A.
Argüelles
chosen
Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
-
B.
Argüello
Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
-
C.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
D.
Hinojosa
Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
-
E.
Salmerón
Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff1fe8081908c32db341b0fb354 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e455edb88190983f74f39e55665c |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2 p.m.