Triple
T13633925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quispicanchi Province |
E325796
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Urcos |
E1051981
|
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: Urcos | Statement: [Quispicanchi Province, seat, Urcos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urcos Context triple: [Quispicanchi Province, seat, Urcos]
-
A.
Urcos
chosen
Urcos is a small Andean town in southeastern Peru that serves as an administrative and commercial center in the Cusco region.
-
B.
Guarauno
Guarauno is an alternative name for the Warao language spoken by the Warao people of the Orinoco Delta region in Venezuela and neighboring areas.
-
C.
Yaguachi
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
-
D.
Orocué
Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
-
E.
Quilleco
Quilleco is a small town and commune in Chile’s Biobío Region, known for its proximity to the Angostura hydroelectric dam on the Biobío River.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a490508190924ac40f1dd519d6 |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794307c288190a0f4629bf5e2b0d9 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:51 p.m.