Triple
T6774871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nafe language |
E155130
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Nguna |
E603807
|
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: Nguna | Statement: [Nafe language, hasGlottologName, Nguna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nguna Context triple: [Nafe language, hasGlottologName, Nguna]
-
A.
Nguna
chosen
Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
-
B.
Muribenua
Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
-
C.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
D.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
E.
Nansio
Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24ddaf08190baffbff991eeb458 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f8c0a3481909f33d2252cc1860c |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 2:13 p.m.