Triple
T7602226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhola District |
E180009
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Bhola town |
E670296
|
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: Bhola town | Statement: [Bhola District, hasCapital, Bhola town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhola town Context triple: [Bhola District, hasCapital, Bhola town]
-
A.
Dharmanagar
Dharmanagar is a prominent town and municipal council in the North Tripura district of the Indian state of Tripura, serving as an important local commercial and administrative center.
-
B.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
-
C.
Bhola Municipality
chosen
Bhola Municipality is the local urban administrative body responsible for governing and providing civic services in the town of Bhola in Bangladesh.
-
D.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
E.
Bhatpara
Bhatpara is an industrial and residential town in the North 24 Parganas district of West Bengal, India, known for its jute mills and dense urban population along the Hooghly River.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9f8e7848190b44d9c16b9c95d37 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8684a98fc8190b3d0568f13ccd123 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.