Triple
T14259609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocó family |
E353476
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Noanamá |
E1089798
|
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: Noanamá | Statement: [Chocó family, hasPart, Noanamá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noanamá Context triple: [Chocó family, hasPart, Noanamá]
-
A.
Noanamá
chosen
Noanamá is an alternative name for the Wounaan language, an indigenous language spoken by the Wounaan people of Colombia and Panama.
-
B.
Coñaripe
Coñaripe is a small lakeside town in southern Chile known for its scenic setting near volcanoes, hot springs, and outdoor recreation areas.
-
C.
Aguajun
Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
-
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.
Ananindeua
Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de635534988190816fdfb315cd2a3f |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d150b188190a0858ab94f81d9a8 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.