Triple

T37409565
Position Surface form Disambiguated ID Type / Status
Subject Pantora E929524 entity
Predicate representationInRepublic P191344 FINISHED
Object Senate representative 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: Senate representative | Statement: [Pantora, representationInRepublic, Senate representative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representationInRepublic
Context triple: [Pantora, representationInRepublic, Senate representative]
  • A. representationIn
    Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
  • B. natureOfRepresentation
    Indicates the manner or form in which something is represented or depicted in relation to something else.
  • C. representative chosen
    Indicates that one entity serves as an official agent or spokesperson acting on behalf of another entity.
  • D. includedRepublic
    Indicates that one entity is a republic that is contained within, or forms part of, another political or administrative entity.
  • E. positionOnRepublic
    Indicates that one entity’s stance, role, or viewpoint is defined specifically in relation to a republic as a form of government or political system.
  • 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_69f76ebde49481908566cd96b37ccc84 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffb5c373948190a6606e8caa87a384 completed May 9, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69ffb261da788190b41399df8ed895e8 completed May 9, 2026, 10:17 p.m.
Created at: May 3, 2026, 4:16 p.m.