Triple
T12554955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asur |
E295189
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Gumla district |
E793664
|
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: Gumla district | Statement: [Asur, region, Gumla district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gumla district Context triple: [Asur, region, Gumla district]
-
A.
Gumla district
chosen
Gumla district is an administrative region in the Indian state of Jharkhand, known for its significant indigenous population and rich tribal cultures.
-
B.
Kandhamal district
Kandhamal district is a region in the Indian state of Odisha known for its indigenous tribal communities, cultural diversity, and forested hilly terrain.
-
C.
Dumka district
Dumka district is an administrative district in the Indian state of Jharkhand, known for its tribal population, hilly terrain, and the town of Dumka serving as its headquarters.
-
D.
Palamu district
Palamu district is an administrative district in the Indian state of Jharkhand, known for its forests, wildlife sanctuary, and historical forts.
-
E.
Bokaro district
Bokaro district is an administrative region in the Indian state of Jharkhand known for its rich coal reserves and major industrial and mining activities.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95490d2708190857f0cb9b8dd6a30 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb538388190b9fb78306fbab2f3 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 11:45 p.m.