Triple
T20100069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhailsa |
E496509
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Besnagar |
—
|
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: Besnagar | Statement: [Bhailsa, alternativeName, Besnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Besnagar Context triple: [Bhailsa, alternativeName, Besnagar]
-
A.
Besnagar
chosen
Besnagar is the ancient name of the historic city of Vidisha in central India, known for its archaeological remains and significance in early Indian history.
-
B.
Bendale
Bendale is a residential neighbourhood located in the Scarborough district of Toronto, Ontario, Canada.
-
C.
Bijnor
Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
-
D.
Shegaon
Shegaon is a town in Maharashtra, India, best known as a major pilgrimage center associated with the revered saint Gajanan Maharaj.
-
E.
Bodhan
Bodhan is a town and municipal center in the Nizamabad district of Telangana, India, known historically for its sugar industry and regional trade.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666f2298819089659f13556ca305 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.