Triple
T5504779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandurbar district |
E144412
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Nandurbar |
E144412
|
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: Nandurbar | Statement: [Nandurbar district, hasCapital, Nandurbar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandurbar Context triple: [Nandurbar district, hasCapital, Nandurbar]
-
A.
Nandurbar district
chosen
Nandurbar district is a tribal-dominated district in the northwestern part of Maharashtra, India, known for its hilly terrain, rural economy, and cultural diversity.
-
B.
Koppal
Koppal is a town in the Indian state of Karnataka known for its historical significance and proximity to major heritage sites like Hampi.
-
C.
Sangli
Sangli is a city in the Indian state of Maharashtra known for its fertile agricultural surroundings and prominence in sugar and turmeric production.
-
D.
Buldhana
Buldhana is a district in the Indian state of Maharashtra known for its Marathi-speaking population and use of the Varhadi dialect.
-
E.
Latur
Latur is a city in the Marathwada region of western India known for its agricultural economy and for being the epicenter of a devastating earthquake in 1993.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0e91d08190a4db907030955bb3 |
completed | March 22, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027ae9a448190a927d39d30f0134b |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.