Triple
T23094360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuki-Chin group |
E575842
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Simte 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: Simte language | Statement: [Kuki-Chin group, hasMemberLanguage, Simte language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simte language Context triple: [Kuki-Chin group, hasMemberLanguage, Simte language]
-
A.
Simte language
chosen
The Simte language is a Kuki-Chin language spoken primarily by the Simte people in northeastern India, especially in the state of Manipur.
-
B.
Seimat language
The Seimat language is an Oceanic Austronesian language spoken primarily on Seimat Island in the western Admiralty Islands of Papua New Guinea.
-
C.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
D.
Temiar language
The Temiar language is an Austroasiatic Aslian language spoken by the Temiar people of Peninsular Malaysia, known for its complex phonology and rich oral tradition.
-
E.
Sidama language
The Sidama language is a Cushitic language spoken primarily by the Sidama people in southern Ethiopia.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de2ed088190971ff08c58b15aad |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.