Triple
T21545867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwa region of Madhya Pradesh |
E531620
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Sardarpur |
—
|
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: Sardarpur | Statement: [Malwa region of Madhya Pradesh, hasMajorCity, Sardarpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sardarpur Context triple: [Malwa region of Madhya Pradesh, hasMajorCity, Sardarpur]
-
A.
Sardarpur
chosen
Sardarpur is a town in the Dhar district of Madhya Pradesh, India, known as a local administrative and commercial center near the Sardarpur Wildlife Sanctuary.
-
B.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
-
C.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
D.
Khanaspur
Khanaspur is a small hill station and tourist resort in Pakistan’s Galyat region, known for its cool climate, forested slopes, and scenic mountain views.
-
E.
Shahpura
Shahpura is a town in Rajasthan, India, historically known as the administrative and cultural center of the former princely Shahpura State.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58ef2548190a81ff51baba76e48 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.