Triple
T22160053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gathang language |
E547642
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Kattang |
—
|
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: Kattang | Statement: [Gathang language, alternativeName, Kattang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kattang Context triple: [Gathang language, alternativeName, Kattang]
-
A.
Kattang
chosen
Kattang is an Aboriginal Australian language traditionally spoken by the Worimi people of New South Wales.
-
B.
Kangtega
Kangtega is a prominent Himalayan peak in Nepal’s Khumbu region, known for its distinctive saddle-shaped summit and challenging climbing routes.
-
C.
Lamkang
Lamkang is a Tibeto-Burman language spoken by the Lamkang people, primarily in parts of Northeast India and Myanmar.
-
D.
Sairang
Sairang is a small town in the Indian state of Mizoram, known for its scenic riverside setting and role as a transport and trading hub near the state capital Aizawl.
-
E.
Phungling
Phungling is a town in eastern Nepal that serves as the main urban and commercial center of Taplejung District in Province No. 1.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2c17a4819082fb9e4aaa275462 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:33 p.m.