Triple

T97037
Position Surface form Disambiguated ID Type / Status
Subject President of the Massachusetts Senate E1954 entity
Predicate officeHolderMustBe P2718 FINISHED
Object member of the Massachusetts Senate 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: member of the Massachusetts Senate | Statement: [President of the Massachusetts Senate, officeHolderMustBe, member of the Massachusetts Senate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeHolderMustBe
Context triple: [President of the Massachusetts Senate, officeHolderMustBe, member of the Massachusetts Senate]
  • A. officeHoldersMustBe chosen
    Indicates that individuals who hold a particular office are required to possess a specified status, qualification, or characteristic.
  • B. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • C. officeHolderTitle
    Indicates the official position or title held by a person in an office or role.
  • D. hasOffice
    Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
  • E. appointedBy
    Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a250cb400c8190b56343bbe19b48c7 completed Feb. 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69a24ebd19c48190bab291fea0ecc0c2 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.