Triple
T23093968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tedim language |
E575832
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Zomi 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: Zomi language | Statement: [Tedim language, hasAlternativeName, Zomi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zomi language Context triple: [Tedim language, hasAlternativeName, Zomi language]
-
A.
Nyishi language
The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
-
B.
Halchidhoma language
The Halchidhoma language is an extinct Yuman language once spoken by the Halchidhoma people along the lower Colorado River in the southwestern United States.
-
C.
Karbi language
The Karbi language is a Tibeto-Burman language spoken primarily by the Karbi people in Northeast India, especially in Assam.
-
D.
Mizo language
chosen
Mizo language is a Tibeto-Burman language spoken primarily in the Indian state of Mizoram and surrounding regions by the Mizo people.
-
E.
Amungme language
Amungme language is a Papuan language spoken by the indigenous Amungme people of the Central Highlands region of Papua, Indonesia.
- 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.