Triple
T14259608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocó family |
E353476
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Woun Meu |
E1089797
|
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: Woun Meu | Statement: [Chocó family, hasPart, Woun Meu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woun Meu Context triple: [Chocó family, hasPart, Woun Meu]
-
A.
Woun Meu
chosen
Woun Meu is an indigenous Chocoan language spoken by the Wounaan people of Panama and Colombia.
-
B.
Chum Mey
Chum Mey is one of the few known survivors of the Khmer Rouge’s S-21 prison, who later became a prominent witness and advocate for remembrance of the Cambodian genocide.
-
C.
Meung Yum
Meung Yum is a subgroup of the Waic peoples, an ethnolinguistic group in Southeast Asia.
-
D.
Nam Ou
Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
-
E.
Bouyi
Bouyi is an alternate name for the Bouyei language, a Tai–Kadai language spoken primarily by the Bouyei ethnic group in southern China.
- 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_69fd4c2e7ee081909a70c9d9b32b6ce5 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:09 a.m.