Triple
T12220776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | north coast of Puerto Rico |
E291208
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Vega Baja |
E266990
|
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: Vega Baja | Statement: [north coast of Puerto Rico, hasMajorCity, Vega Baja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vega Baja Context triple: [north coast of Puerto Rico, hasMajorCity, Vega Baja]
-
A.
Vega Baja
chosen
Vega Baja is a coastal municipality in northern Puerto Rico known for its beaches, particularly Playa Puerto Nuevo, and its mix of urban and rural communities.
-
B.
Tecate
Tecate is a Mexican border city in the state of Baja California, known for its brewery and as a quieter alternative crossing point near Tijuana.
-
C.
Villacarrillo
Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
-
D.
Baja
Baja is a town in southern Hungary known for its location on the Danube River and its cultural and economic role in the Bačka region.
-
E.
San Ysidro
San Ysidro is a community in the southernmost part of San Diego, California, best known for hosting one of the world’s busiest land border crossings between the United States and Mexico.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c961d648190ad6ce5f7d228eee4 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa4f4388190a787dde12190c51a |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.