Triple
T21999090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Odisha |
E543278
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Bhubaneswar |
—
|
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: Bhubaneswar | Statement: [Government of Odisha, capital, Bhubaneswar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhubaneswar Context triple: [Government of Odisha, capital, Bhubaneswar]
-
A.
Bhubaneswar
chosen
Bhubaneswar is the capital city of the Indian state of Odisha, renowned for its historic temples and role as a major cultural and economic center in eastern India.
-
B.
Cuttack
Cuttack is a historic city in the Indian state of Odisha, known for its centuries-old Barabati Fort, silver filigree work, and role as a major cultural and commercial center.
-
C.
Berhampur
Berhampur is a major commercial and educational city in the Indian state of Odisha, known especially for its trade, textiles, and proximity to the Gopalpur-on-Sea beach.
-
D.
Jharsuguda
Jharsuguda is a town and district in western Odisha, India, known as an industrial and mining hub where the Koshali language is widely spoken.
-
E.
Ranchi
Ranchi is the capital city of the Indian state of Jharkhand, known for its hilly terrain, waterfalls, and role as a regional political and commercial center.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12768c0088190b0c8d5cd9b7bf710 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.