Triple
T22314502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwa-Nimar region |
E551606
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Ratlam |
E129683
|
NE FINISHED |
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: Ratlam | Statement: [Malwa-Nimar region, majorCity, Ratlam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratlam Context triple: [Malwa-Nimar region, majorCity, Ratlam]
-
A.
Ratlam
chosen
Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
-
B.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
C.
Bhiwadi
Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
-
D.
Bhilsa
Bhilsa is a historical town in the Vidisha district of Madhya Pradesh, India, known for its ancient Buddhist and Hindu archaeological sites.
-
E.
Ralegan Siddhi
Ralegan Siddhi is a village in Maharashtra, India, renowned as a model of rural development and watershed management largely inspired by the work of social activist Anna Hazare.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15751bf208190b8938a00d1afd157 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1dc1a2b0819086f47315c7b12fab |
completed | May 18, 2026, 2:10 p.m. |
Created at: April 16, 2026, 8:42 p.m.