Triple
T19396799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxapampa Province |
E485211
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Huancabamba |
—
|
NE NERFINISHED |
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: Huancabamba | Statement: [Oxapampa Province, hasMajorTown, Huancabamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huancabamba Context triple: [Oxapampa Province, hasMajorTown, Huancabamba]
-
A.
Huancabamba
chosen
Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
-
B.
Quillabamba
Quillabamba is a tropical city in southern Peru known for its coffee, cacao, and fruit production in the Cusco region.
-
C.
Cajatambo
Cajatambo is a small Andean town in central Peru known for its colonial-era architecture, highland landscapes, and traditional Quechua-influenced culture.
-
D.
Huacaybamba
Huacaybamba is a town in the Huánuco Region of central Peru that serves as the administrative and commercial center of the surrounding rural province.
-
E.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.