Triple

T917970
Position Surface form Disambiguated ID Type / Status
Subject President of the Senate of Maryland E19811 entity
Predicate officeHoldersMustBelongTo P2718 FINISHED
Object a political party 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: a political party | Statement: [President of the Senate of Maryland, officeHoldersMustBelongTo, a political party]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeHoldersMustBelongTo
Context triple: [President of the Senate of Maryland, officeHoldersMustBelongTo, a political party]
  • A. officeHoldersMustBe chosen
    Indicates that individuals who hold a particular office are required to possess a specified status, qualification, or characteristic.
  • B. officeHoldersMustNot
    Indicates that certain individuals are prohibited from holding specified offices or positions.
  • C. memberHoldsOffice
    Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
  • D. officeHoldersAreUsually
    Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
  • E. hasOfficeHolderType
    Indicates that an office or position is associated with a specific type or category of office holder (e.g., elected official, appointed official).
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b388f0bc8190a087222636135ba5 completed March 1, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69a4b2944ff88190a260be5355132ba5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.