Triple
T11127962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biblioteca Vasconcelos |
E263198
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Buenavista |
E45363
|
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: Buenavista | Statement: [Biblioteca Vasconcelos, locatedInNeighborhood, Buenavista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buenavista Context triple: [Biblioteca Vasconcelos, locatedInNeighborhood, Buenavista]
-
A.
Buenavista
chosen
Buenavista is a major transit hub and neighborhood in Mexico City that serves as a key interchange point for metro, bus rapid transit, and commuter rail services.
-
B.
Buenavista
Buenavista is a coastal municipality on the island province of Marinduque in the Philippines, known for its rural communities and scenic seaside landscapes.
-
C.
Buenavista
Buenavista is a neighborhood located in the Mexican state of Guerrero.
-
D.
Buenavista
Buenavista is a coastal municipality on the island province of Guimaras in the Philippines, known for its scenic views and agricultural communities.
-
E.
Buenavista
Buenavista is a small coffee-growing municipality located in the mountainous Quindío Department of Colombia, known for its scenic landscapes and panoramic viewpoints.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e830e804819097fcc3826d84dab8 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8b3ce4819082f9efcf8dec4f1a |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.