Triple
T7487335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aguadas |
E176914
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Aguadeño hat |
E176914
|
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: Aguadeño hat | Statement: [Aguadas, notableProduct, Aguadeño hat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguadeño hat Context triple: [Aguadas, notableProduct, Aguadeño hat]
-
A.
Capiceño
Capiceño is an alternative name for the Capiznon language, an Austronesian language spoken primarily in the province of Capiz in the Philippines.
-
B.
Guagua
Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
-
C.
Negrete
Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
-
D.
Aguadas
chosen
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
-
E.
El Miguelete
El Miguelete is the iconic Gothic bell tower of Valencia, Spain, renowned as a symbol of the city and a popular viewpoint over its historic center.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5582adc81908b68439762965d88 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c6d7dc08190b5d030e3eff9b108 |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:43 p.m.