Triple
T23494616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganjam district |
E571668
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Digapahandi |
—
|
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: Digapahandi | Statement: [Ganjam district, hasTown, Digapahandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digapahandi Context triple: [Ganjam district, hasTown, Digapahandi]
-
A.
Digapahandi
chosen
Digapahandi is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
-
B.
Jhandi Dhar
Jhandi Dhar is a prominent mountain ridge in Uttarakhand, India, known as the highest point within Binsar Wildlife Sanctuary and a popular spot for panoramic Himalayan views.
-
C.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
D.
Dhanghata
Dhanghata is a prominent town and administrative center in the Sant Kabir Nagar district of Uttar Pradesh, India.
-
E.
Dakpathar
Dakpathar is a small town in Uttarakhand, India, known for its barrage on the Yamuna River and its role as a local hydroelectric and irrigation hub.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7def8ac8190ade511299078d55b |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.