Triple
T2829050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reva |
E62191
|
entity |
| Predicate | hasMajorPilgrimageSite |
P20225
|
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: [Reva, hasMajorPilgrimageSite, Maheshwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maheshwar Context triple: [Reva, hasMajorPilgrimageSite, 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.
Sangameshwar
Sangameshwar is a town in Maharashtra, India, historically notable as the site where Maratha ruler Sambhaji was captured by Mughal forces.
-
C.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
D.
Banavasi
Banavasi is an ancient town in Karnataka, India, historically significant as an early capital of the Kadamba dynasty and a major center of early Kannada culture and inscriptions.
-
E.
Sri Madhopur
Sri Madhopur is a town in the Sikar district of Rajasthan, India, known for its historical significance and regional trade and agriculture.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe08ae5048190a0a3b573d9a5fdbc |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8bb92b08190b1de7e6973d96301 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 10:01 p.m.