Triple
T23505982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyishi language |
E572281
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Tagin language |
—
|
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: Tagin language | Statement: [Nyishi language, closelyRelatedTo, Tagin language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagin language Context triple: [Nyishi language, closelyRelatedTo, Tagin language]
-
A.
Tagin language
chosen
The Tagin language is a Tani (Tibeto-Burman) language spoken primarily by the Tagin people of Arunachal Pradesh in northeastern India.
-
B.
Kimaragang language
The Kimaragang language is an Austronesian language spoken by the Kimaragang people of Sabah, Malaysia, and is part of the Dusunic branch of the North Bornean languages.
-
C.
Baangi language
The Baangi language is a lesser-known Nupoid (Benue–Congo) language spoken by a small community in Nigeria.
-
D.
Tarangan language
The Tarangan language is an Austronesian language spoken in the Aru Islands of eastern Indonesia, known for its distinct dialects and role in the region’s local communication.
-
E.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a9009ca081908c4cffb8c32293ec |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.