Triple
T21794115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chácobo |
E538048
|
entity |
| Predicate | ethnicity |
P194
|
FINISHED |
| Object | Chácobo |
—
|
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: Chácobo | Statement: [Chácobo, ethnicity, Chácobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chácobo Context triple: [Chácobo, ethnicity, Chácobo]
-
A.
Chácobo
chosen
Chácobo is an indigenous language of the Panoan family spoken by the Chácobo people in the Bolivian Amazon.
-
B.
Yaguachi
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
-
C.
Cojitambo
Cojitambo is an ancient highland archaeological complex in Ecuador notable for its Cañari and later Inca ceremonial and military structures.
-
D.
Guará
Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
-
E.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0622329b08190b8cd9be714aca456 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:52 p.m.