Triple

T2613989
Position Surface form Disambiguated ID Type / Status
Subject Barwani E58841 entity
Predicate historicalRegion P915 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: [Barwani, historicalRegion, Nimar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nimar
Context triple: [Barwani, historicalRegion, 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. Senigallia
    Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
  • C. Marsica
    Marsica is a historical region in central Italy, located in the Apennine Mountains of Abruzzo and known for its ancient Italic heritage and the former Lake Fucino basin.
  • D. Petorca Province
    Petorca Province is an administrative division in Chile’s Valparaíso Region, known for its agricultural activity and severe water scarcity issues.
  • E. Triveneto
    Triveneto is a historical-geographical region in northeastern Italy that traditionally comprises Veneto, Trentino-Alto Adige/Südtirol, and Friuli Venezia Giulia.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87dcfbc8190b264062002bfe4ba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83eb8b088190b1ea47c6d42033c5 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:50 p.m.