Triple

T38546692
Position Surface form Disambiguated ID Type / Status
Subject Loha E924983 entity
Predicate formerElectoralDistrictOf P184966 FINISHED
Object Nanded Lok Sabha constituency 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: Nanded Lok Sabha constituency | Statement: [Loha, formerElectoralDistrictOf, Nanded Lok Sabha constituency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerElectoralDistrictOf
Context triple: [Loha, formerElectoralDistrictOf, Nanded Lok Sabha constituency]
  • A. representedElectoralDistrict
    Indicates that an elected official served as the representative for a specific electoral district or constituency.
  • B. formerDistrict
    Indicates that one entity previously served as a district of another entity but no longer holds that status.
  • C. partOfElectoralDistrictType
    Indicates that one entity is a component or subdivision of a specified type of electoral district.
  • D. isFormerConstituencyOf chosen
    Indicates that an entity was previously a constituency represented by another entity, but no longer holds that status.
  • E. formerFederalElectoralDistrictNumber
    Indicates that an entity was previously designated with a specific federal electoral district number before being restructured, renumbered, or abolished.
  • F. None of above.

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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a014f7602988190b8f86cb431a9cf12 completed May 11, 2026, 3:39 a.m.
PD Predicate disambiguation batch_6a014a70ea748190bd86fb9f218103ba completed May 11, 2026, 3:18 a.m.
Created at: May 3, 2026, 4:32 p.m.