Triple
T17827486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huamalíes Province |
E445157
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Llata |
—
|
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: Llata | Statement: [Huamalíes Province, hasSettlement, Llata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llata Context triple: [Huamalíes Province, hasSettlement, Llata]
-
A.
Llata
chosen
Llata is a town in central Peru that serves as an administrative and commercial hub in the Andean highlands of the Huánuco region.
-
B.
Puntila
Puntila is a wealthy, mercurial Finnish landowner whose shifting moods and class contradictions drive the social and political satire in Bertolt Brecht’s play "Mr Puntila and His Man Matti."
-
C.
Sibanicú
Sibanicú is a small municipality and town located in central Cuba within Camagüey Province, known for its agricultural activities and rural character.
-
D.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
E.
Pácora
Pácora is a Colombian town and municipality in the department of Caldas, known for its coffee-growing tradition and colonial architecture in the Andean 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48915d0fc819080ab03feb2465834 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.