Triple
T13356695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumaoni people |
E318710
|
entity |
| Predicate | festival |
P3113
|
FINISHED |
| Object | Harela |
E312912
|
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: Harela | Statement: [Kumaoni people, festival, Harela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harela Context triple: [Kumaoni people, festival, Harela]
-
A.
Harela
chosen
Harela is a traditional Kumaoni festival in Uttarakhand that marks the onset of the monsoon and is celebrated with rituals centered on sowing and worshipping new crops and greenery.
-
B.
Thareli
Thareli is an alternative name for the Dhatki language, an Indo-Aryan language spoken primarily in parts of India and Pakistan.
-
C.
Leheriya
Leheriya is a traditional Indian tie-dye textile technique from Rajasthan, characterized by its distinctive diagonal wave-like patterns in vibrant colors.
-
D.
Byari
Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
-
E.
Khekra
Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72677b2a48190aad30f3ee6cacefb |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:32 p.m.