Triple
T15378360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huancané Province |
E367730
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Huancané |
E1156357
|
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: Huancané | Statement: [Huancané Province, hasSettlement, Huancané]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huancané Context triple: [Huancané Province, hasSettlement, Huancané]
-
A.
Huancané
chosen
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
B.
Chiquilá
Chiquilá is a small coastal village in Quintana Roo, Mexico, best known as the main ferry departure point to the popular island destination of Isla Holbox.
-
C.
Carahuino
A Carahuino is a resident or native of Carahue, a town in southern Chile’s Araucanía Region.
-
D.
Hualañé
Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
-
E.
Chacahua
Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e6044488190b0499db109f7f821 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cec4f2481908fae5209bfd48dcf |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:19 a.m.