Triple
T22515555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red de San Luis square |
E556636
|
entity |
| Predicate | nearMetroStation |
P33877
|
FINISHED |
| Object | Gran Vía station |
—
|
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: Gran Vía station | Statement: [Red de San Luis square, nearMetroStation, Gran Vía station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gran Vía station Context triple: [Red de San Luis square, nearMetroStation, Gran Vía station]
-
A.
Lo Prado station
Lo Prado station is an underground stop on Santiago, Chile’s Metro system serving the Lo Prado commune along Line 5.
-
B.
Gran Vía metro station
chosen
Gran Vía metro station is a major Madrid Metro station in the city center, serving as an important interchange point near the Gran Vía thoroughfare.
-
C.
Plaza Aragón station
Plaza Aragón station is a stop on Mexico City Metro’s Line B serving the Plaza Aragón area in the northeastern part of the metropolitan zone.
-
D.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
E.
Les Corts station
Les Corts station is an underground Barcelona Metro stop in the Les Corts district, providing urban rail service on the city's Line 3.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.