Triple
T18070293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cajatambo District |
E432407
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Cajatambo |
—
|
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: Cajatambo | Statement: [Cajatambo District, capital, Cajatambo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cajatambo Context triple: [Cajatambo District, capital, Cajatambo]
-
A.
Cajatambo
chosen
Cajatambo is a small Andean town in central Peru known for its colonial-era architecture, highland landscapes, and traditional Quechua-influenced culture.
-
B.
Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
-
C.
Huancabamba
Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
-
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.
Chimbay
Chimbay is a town in the autonomous Republic of Karakalpakstan in northwestern Uzbekistan, serving as a local administrative and economic center in the region.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cced29fc81908e87b4f1990fa0d8 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.