Triple
T22549882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salar people |
E557530
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Salar 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: Salar language | Statement: [Salar people, language, Salar language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salar language Context triple: [Salar people, language, Salar language]
-
A.
Salar language
chosen
The Salar language is a Turkic language spoken primarily by the Salar people in northwestern China, notable for its Oghuz roots and heavy influence from Chinese and Tibetan.
-
B.
Lasalimu language
The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
-
C.
Saluan language
The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
-
D.
Sar language
Sar language is a Papuan language spoken on Pantar Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
-
E.
Isnag language
The Isnag language is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f74512c8190b5369e19a4bc6325 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.