Triple
T9576929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haridwar district |
E231067
|
entity |
| Predicate | legislativeAssemblyConstituencies |
P23217
|
FINISHED |
| Object | Jwalapur |
E811000
|
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: Jwalapur | Statement: [Haridwar district, legislativeAssemblyConstituencies, Jwalapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jwalapur Context triple: [Haridwar district, legislativeAssemblyConstituencies, Jwalapur]
-
A.
Jwalapur
chosen
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
B.
Brahmapuri
Brahmapuri is a town in Maharashtra, India, known as one of the important urban centers within Chandrapur district.
-
C.
Dantapura
Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
-
D.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
E.
Igatpuri
Igatpuri is a hill town and railway junction in Maharashtra, India, known for its scenic Western Ghats setting and as a key stop on the route between Mumbai and central/eastern India.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1821797f88190b427ad1fcfc73757 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8:05 p.m.