Triple
T14098331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Jorge Airport |
E339313
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Velas |
E337866
|
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: Velas | Statement: [São Jorge Airport, locatedIn, Velas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velas Context triple: [São Jorge Airport, locatedIn, Velas]
-
A.
Velas
chosen
Velas is a coastal town and municipality on São Jorge Island in Portugal’s Azores archipelago, known for its dramatic cliffs, natural pools, and traditional Azorean architecture.
-
B.
Basco
Basco is a small coastal town in the northern Philippines known as the administrative and cultural center of the remote, scenic Batanes island province.
-
C.
Puerto Marqués
Puerto Marqués is a coastal bay and beach community near Acapulco in the Mexican state of Guerrero, known for its calm waters and tourism.
-
D.
Dorado
Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
-
E.
Dorado
Dorado is a southern sky constellation known for containing most of the Large Magellanic Cloud and the southern portion of the Milky Way’s satellite galaxy.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.