Triple
T22209226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandharpur Vitthal Temple |
E548895
|
entity |
| Predicate | associatedWithSaint |
P2830
|
FINISHED |
| Object | Muktabai |
—
|
NE NERFINISHED |
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: Muktabai | Statement: [Pandharpur Vitthal Temple, associatedWithSaint, Muktabai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muktabai Context triple: [Pandharpur Vitthal Temple, associatedWithSaint, Muktabai]
-
A.
Muktabai
chosen
Muktabai was a 13th-century Marathi saint and poet of the Varkari tradition, revered for her spiritual wisdom and abhang devotional hymns.
-
B.
Gopikabai
Gopikabai was the wife of Peshwa Balaji Baji Rao and a prominent Maratha noblewoman known for her influence in 18th-century Maratha politics.
-
C.
Bhanumati
Bhanumati is a character in the Indian epic Mahabharata, known as the queen of Hastinapura and wife of the Kaurava prince Duryodhana.
-
D.
Tarabai
Tarabai was a prominent Maratha queen and regent known for leading the Maratha resistance against the Mughal Empire in the early 18th century.
-
E.
Mangalambika
Mangalambika is a Hindu goddess revered as the consort of Lord Shiva at the Adi Kumbeswarar Temple in Kumbakonam, Tamil Nadu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2aefb881909bddbabd4be0bd58 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.