Triple
T22304638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopargaon |
E551342
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Shirdi |
—
|
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: Shirdi | Statement: [Kopargaon, near, Shirdi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirdi Context triple: [Kopargaon, near, Shirdi]
-
A.
Shirdi
chosen
Shirdi is a prominent pilgrimage town in Maharashtra, India, best known as the home and shrine of the revered saint Sai Baba.
-
B.
Shringeri
Shringeri is a historic temple town and prominent center of Advaita Vedanta scholarship in Karnataka, India, renowned for its ancient matha and rich manuscript tradition.
-
C.
Shani Shingnapur
Shani Shingnapur is a famous village and pilgrimage site in Maharashtra, India, renowned for its temple dedicated to Lord Shani and its tradition of houses without doors.
-
D.
Bhiwapur
Bhiwapur is a town in Maharashtra, India, known for its chili production and location within the Nagpur district.
-
E.
Ulhasnagar
Ulhasnagar is a city in the Mumbai Metropolitan Region of Maharashtra, India, known for its large Sindhi community and extensive furniture and textile markets.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15726b7e48190b7636db01dbb8a40 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.