Triple

T20446501
Position Surface form Disambiguated ID Type / Status
Subject Ratlam State E501529 entity
Predicate hasMunicipalCenter P1474 FINISHED
Object Ratlam town 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: Ratlam town | Statement: [Ratlam State, hasMunicipalCenter, Ratlam town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratlam town
Context triple: [Ratlam State, hasMunicipalCenter, Ratlam town]
  • 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. Khandwa city
    Khandwa city is an urban center in the Indian state of Madhya Pradesh, known as a regional commercial and transportation hub.
  • C. Somnath town
    Somnath town is a coastal pilgrimage destination in Gujarat, India, best known for the revered Somnath Temple and its scenic Arabian Sea shoreline.
  • D. Datia town
    Datia town is a historic urban center in Madhya Pradesh, India, known for its hilltop palaces, temples, and rich Bundelkhand architectural heritage.
  • E. Chandwad
    Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfd84c08190a3f971f1cd279715 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.