Triple
T23093921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hmar language |
E575831
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Hmar |
—
|
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: Hmar | Statement: [Hmar language, hasAlternativeName, Hmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hmar Context triple: [Hmar language, hasAlternativeName, Hmar]
-
A.
Hmar
chosen
Hmar is an indigenous ethnic group of Northeast India and neighboring regions, known for its Tibeto-Burman language and rich cultural traditions.
-
B.
Khamti
Khamti is a Tai language variety spoken primarily by the Khamti people in parts of northeastern India and northern Myanmar.
-
C.
Thadou
Thadou is a Kuki-Chin language spoken primarily by the Thadou people in northeastern India and neighboring regions.
-
D.
Monpa
Monpa are an indigenous ethnic group of the eastern Himalayas, primarily inhabiting the Tawang and West Kameng regions, known for their Tibetan Buddhist culture, traditional crafts, and high-altitude agrarian lifestyle.
-
E.
Moirang
Moirang is a historic town in Manipur, India, known for its cultural heritage and proximity to the famous Loktak Lake.
- 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.