Triple
T13559506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramara kingdom |
E323866
|
entity |
| Predicate | notableCity |
P2813
|
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: [Paramara kingdom, notableCity, Maheshwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maheshwar Context triple: [Paramara kingdom, notableCity, 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.
Bhuleshwar
Bhuleshwar is a densely populated, historic market and residential area in South Mumbai known for its traditional temples, jewelry and textile shops, and vibrant street life.
-
C.
Ramdurg
Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
-
D.
Mandleshwar
Mandleshwar is a historic town on the banks of the Narmada River in Madhya Pradesh, India, known for its temples and scenic ghats.
-
E.
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.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75dab4974819097880ad4d50f1b34 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.