Triple
T7344582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumaoni |
E169342
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kumaonī |
E169342
|
NE FINISHED |
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: Kumaonī | Statement: [Kumaoni, hasAlternativeName, Kumaonī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumaonī Context triple: [Kumaoni, hasAlternativeName, Kumaonī]
-
A.
Kumaoni
chosen
Kumaoni is an Indo-Aryan language spoken primarily in the Kumaon region of India’s Uttarakhand state, known for its rich oral traditions and distinct dialects.
-
B.
Kumaon
Kumaon is a culturally rich Himalayan region in the Indian state of Uttarakhand, known for its mountainous landscapes, distinct traditions, and historic hill towns like Nainital and Almora.
-
C.
Kumher
Kumher is a historic town in the Braj region of northern India, known for its cultural and religious significance linked to the legends of Lord Krishna.
-
D.
Kvishkheti
Kvishkheti is a village located in central Georgia within the administrative area of Khashuri Municipality.
-
E.
Bijbehara
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0eeb30081909d25704ac9b49d0e |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d0aebc8190a7274fbcd3fe11ff |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:05 p.m.