Triple
T7660953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolami–Naiki subgroup |
E173503
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Naiki language |
E590956
|
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: Naiki language | Statement: [Kolami–Naiki subgroup, hasMember, Naiki language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naiki language Context triple: [Kolami–Naiki subgroup, hasMember, Naiki language]
-
A.
Naiki language
chosen
The Naiki language is a Dravidian tribal language of central India, spoken by communities closely related linguistically and culturally to Gondi-speaking groups.
-
B.
Nakanai language
The Nakanai language is an Austronesian language spoken by the Nakanai people of New Britain in Papua New Guinea.
-
C.
Batui language
The Batui language is an Austronesian language spoken in Central Sulawesi, Indonesia, and is part of the Saluan–Banggai subgroup.
-
D.
Sekani language
The Sekani language is an Indigenous Northern Athabaskan language spoken by the Sekani people of north-central British Columbia, Canada.
-
E.
Baniwa language
Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 3:59 p.m.