Triple

T11875693
Position Surface form Disambiguated ID Type / Status
Subject Indore division E282520 entity
Predicate hasRegion P285 FINISHED
Object Nimar E125271 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: Nimar | Statement: [Indore division, hasRegion, Nimar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nimar
Context triple: [Indore division, hasRegion, Nimar]
  • A. Nimar chosen
    Nimar is a culturally distinct region in southwestern Madhya Pradesh, India, known for its tribal communities, cotton production, and location along the Narmada River.
  • B. Lunigiana
    Lunigiana is a historical region in northwestern Italy, spanning parts of Tuscany and Liguria, known for its medieval castles, hilltop villages, and rugged Apennine landscapes.
  • C. Carrù
    Carrù is a small town in Italy’s Piedmont region, known as the birthplace of former Italian President Luigi Einaudi and for its wine and truffle traditions.
  • D. Le Murge
    Le Murge is a karstic plateau region in Apulia, southern Italy, known for its rocky landscapes, traditional rural settlements, and historic agricultural practices.
  • E. Valsesia
    Valsesia is a scenic alpine valley in Italy’s Piedmont region, known for its mountain landscapes, outdoor sports, and traditional villages.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1a22448190bd0722188c14d7bd completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281cac9a48190b4b0f4c53b41110f completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.