Triple
T23094241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bawm language |
E575839
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Lai 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: Lai language | Statement: [Bawm language, closelyRelatedTo, Lai language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lai language Context triple: [Bawm language, closelyRelatedTo, Lai language]
-
A.
Lai language
chosen
Lai language is a Kuki-Chin language of the Tibeto-Burman family spoken primarily in Chin State of Myanmar and adjoining regions of India and Bangladesh.
-
B.
Lari language
The Lari language is a Southwestern Iranian language spoken primarily in southern Iran, especially in the Larestan region of Fars Province, and is closely related to other regional varieties such as Achomi.
-
C.
Lani language
The Lani language is a Papuan language spoken by the Lani people in the central highlands of Western New Guinea (Indonesian Papua).
-
D.
Laha language
The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
-
E.
Laka language
Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
- 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.