Triple

T1107021
Position Surface form Disambiguated ID Type / Status
Subject Droupadi Murmu E25507 entity
Predicate servedAsMLAFrom P23218 FINISHED
Object 2000 LITERAL 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: 2000 | Statement: [Droupadi Murmu, servedAsMLAFrom, 2000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedAsMLAFrom
Context triple: [Droupadi Murmu, servedAsMLAFrom, 2000]
  • A. servedInParliamentFor
    Indicates that a person held a parliamentary seat as a representative of a specified constituency, region, or jurisdiction.
  • B. parliamentaryConstituencyRepresented
    Indicates the relationship in which a person or entity serves as the elected representative for a specific parliamentary constituency.
  • C. hasMemberOfParliament
    Indicates that an entity is represented by a specific individual serving as its Member of Parliament.
  • D. hasFormerMP
    Indicates that an entity previously served as a Member of Parliament for another entity (such as a constituency, party, or legislative body), but no longer holds that position.
  • E. areRepresentedIn
    Indicates that one entity serves as a representation, depiction, or encoding of another entity within a given medium, context, or system.
  • F. None of above. chosen

Provenance (4 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e47e4881908928900df72781f0 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b74877748190b78cd8847ee4fa7a completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7da38888190a118ef20ce4ae9aa completed March 1, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:43 p.m.