Triple
T23506322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodish languages |
E572290
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Lepcha 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: Lepcha language | Statement: [Bodish languages, hasMember, Lepcha language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lepcha language Context triple: [Bodish languages, hasMember, Lepcha language]
-
A.
Lepcha language
chosen
The Lepcha language is an indigenous Sino-Tibetan language spoken primarily by the Lepcha people in parts of Sikkim and neighboring regions of India, Bhutan, and Nepal, known for its unique script and rich oral tradition.
-
B.
Chamba language
The Chamba language is a Niger-Congo language spoken by the Chamba people of Nigeria and Cameroon.
-
C.
Rengma language
Rengma language is a Tibeto-Burman language spoken primarily by the Rengma Naga people in the northeastern region of India.
-
D.
Kumaoni language
Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
-
E.
Wancho language
Wancho language is a Tibeto-Burman language spoken by the Wancho people of Arunachal Pradesh in northeastern India.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a9009ca081908c4cffb8c32293ec |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.