Triple
T5688106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dehu |
E125360
|
entity |
| Predicate | pilgrimageRouteTo |
P38487
|
FINISHED |
| Object | Pandharpur |
E141388
|
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: Pandharpur | Statement: [Dehu, pilgrimageRouteTo, Pandharpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandharpur Context triple: [Dehu, pilgrimageRouteTo, Pandharpur]
-
A.
Pandharpur
chosen
Pandharpur is a major pilgrimage town in Maharashtra, India, renowned for its Vitthal (Vithoba) temple and its central role in the Bhakti movement.
-
B.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
C.
Nandod
Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
-
D.
Kolhapur
Kolhapur is a historic city in the Indian state of Maharashtra, known for its rich Maratha heritage, temples, and distinctive Kolhapuri cuisine and leather sandals.
-
E.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023be18a081908c72fb5b0e1852f9 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dd1758c8190ad92f250e5927c0b |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:44 p.m.