Triple
T19967861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chupaca Province |
E479987
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Chupaca |
E58289
|
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: Chupaca | Statement: [Chupaca Province, capital, Chupaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chupaca Context triple: [Chupaca Province, capital, Chupaca]
-
A.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
B.
Chinchero
chosen
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
-
C.
Pitupaq
Pitupaq is the Mi'kmaq Indigenous name for Bras d'Or Lake, a large inland sea on Cape Breton Island in Nova Scotia, Canada.
-
D.
Yaguachi
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
-
E.
Tocopilla
Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdd37adc8190b997852563023b11 |
completed | May 16, 2026, 5:17 a.m. |
Created at: April 10, 2026, 1:54 p.m.