Triple
T19254090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwa region |
E481468
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Mahidpur |
—
|
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: Mahidpur | Statement: [Malwa region, hasMajorCity, Mahidpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahidpur Context triple: [Malwa region, hasMajorCity, Mahidpur]
-
A.
Mahidpur
chosen
Mahidpur is a historic town in the Indian state of Madhya Pradesh, known for its location in the Malwa region and its role in the Anglo-Maratha conflicts.
-
B.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
-
C.
Santipur
Santipur is a historic town in West Bengal, India, renowned for its traditional handloom sarees and cultural heritage.
-
D.
Shibpur
Shibpur is a prominent residential and institutional neighborhood in Howrah, West Bengal, known for landmarks like the Indian Institute of Engineering Science and Technology and the Acharya Jagadish Chandra Bose Indian Botanic Garden.
-
E.
Kumarghat
Kumarghat is a town in the Indian state of Tripura, known as a local commercial and transport hub in the Unakoti district.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3339648190a87d38ce42aff016 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.