Triple
T5908149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indore State |
E131391
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Maheshwar |
E269512
|
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: Maheshwar | Statement: [Indore State, hasCity, Maheshwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maheshwar Context triple: [Indore State, hasCity, Maheshwar]
-
A.
Maheshwar
chosen
Maheshwar is a historic temple town on the banks of the Narmada River in Madhya Pradesh, India, renowned for its ghats, fort, and traditional handwoven Maheshwari sarees.
-
B.
Chitrakoot
Chitrakoot is a revered pilgrimage town in India celebrated in the Ramayana as a key place of exile and spiritual refuge for Lord Rama.
-
C.
Bageshwar
Bageshwar is a town and district headquarters in the Kumaon region of Uttarakhand, India, known for its religious significance and scenic Himalayan surroundings.
-
D.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
-
E.
Sangameshwar
Sangameshwar is a town in Maharashtra, India, historically notable as the site where Maratha ruler Sambhaji was captured by Mughal forces.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03773f4188190a11276b2d5baad08 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c00e25f88190a5eb68ee234e4f6c |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:59 p.m.