Triple
T23493373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivaclé |
E571635
|
entity |
| Predicate | autonym |
P1435
|
FINISHED |
| Object | Nivaclé |
—
|
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: Nivaclé | Statement: [Nivaclé, autonym, Nivaclé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nivaclé Context triple: [Nivaclé, autonym, Nivaclé]
-
A.
Nivaclé
chosen
The Nivaclé are an indigenous people of the Gran Chaco region of South America, known for their distinct language, traditional subsistence practices, and rich cultural heritage.
-
B.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
C.
L’Etivaz
L’Etivaz is a Swiss alpine village in the canton of Vaud best known for producing the traditional hard cheese L’Etivaz AOP.
-
D.
Nivy
Nivy is a district of Bratislava, Slovakia, known for its central location, major transport hub, and commercial-residential developments.
-
E.
Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7de1ab88190b6c2441c63a99713 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.