Triple
T19670064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raja Bhoj |
E472309
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Bhojpur |
—
|
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: Bhojpur | Statement: [Raja Bhoj, capital, Bhojpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhojpur Context triple: [Raja Bhoj, capital, Bhojpur]
-
A.
Bhojpur
chosen
Bhojpur is a historic site in central India renowned for its unfinished 11th-century Bhojeshwar Temple dedicated to Shiva and its impressive ancient architectural remains.
-
B.
Narayanpur
Narayanpur is a town located in the Lakhimpur district of the Indian state of Assam.
-
C.
Bhojpur District
Bhojpur District is an administrative district in eastern Nepal known for its hilly terrain, traditional Newar and Rai communities, and production of the famous Bhojpuri khukuri knives.
-
D.
Bhojpur region
The Bhojpur region is a culturally and historically significant area of India known for its Bhojpuri language, rich folk traditions, and influential role in regional politics and migration.
-
E.
Sohagpur
Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416b9cf8819096f44e3f9fbf86fa |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.