Triple
T22680372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maheshwar Fort |
E560463
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Maheshwar |
—
|
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: Maheshwar | Statement: [Maheshwar Fort, locatedIn, Maheshwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maheshwar Context triple: [Maheshwar Fort, locatedIn, 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.
Gopeshwar
Gopeshwar is a town in the Indian state of Uttarakhand known as a local commercial and cultural center in the Garhwal Himalayas.
-
C.
Bakreshwar
Bakreshwar is a temple town in West Bengal, India, renowned for its hot springs and as a significant Hindu pilgrimage site associated with the goddess Sati.
-
D.
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.
-
E.
Shankheshwar
Shankheshwar is a village in Gujarat, India, known primarily as a significant Jain pilgrimage center dedicated to Lord Parshvanath.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785f68b4819082c5570f741f5135 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.