Triple

T961722
Position Surface form Disambiguated ID Type / Status
Subject Central India E20748 entity
Predicate containsCity P294 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: [Central India, containsCity, Ratlam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratlam
Context triple: [Central India, containsCity, 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. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • C. Jalgaon
    Jalgaon is a city in northwestern Maharashtra, India, known as a major commercial center for banana production and trade.
  • D. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • E. Khandwa
    Khandwa is a city in central India known as a regional commercial and cultural center in the state of Madhya Pradesh.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b415ac688190bbcef455935a3116 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15899808819090f6e26a40f7b2aa completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:40 p.m.