Triple

T35728272
Position Surface form Disambiguated ID Type / Status
Subject President of the American Political Science Association E1032674 entity
Predicate typicalOfficeHolderEmployer P206026 FINISHED
Object universities 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: universities | Statement: [President of the American Political Science Association, typicalOfficeHolderEmployer, universities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalOfficeHolderEmployer
Context triple: [President of the American Political Science Association, typicalOfficeHolderEmployer, universities]
  • A. officeHolderTypicallyFrom
    Indicates that the person holding a particular office is typically drawn from or originates from a specified group, region, or category.
  • B. employerOfChairHolder
    Indicates that an entity serves as the employing organization or institution of a person who holds a specific chair or endowed position.
  • C. officeHolderUsually
    Indicates that an entity is the person who typically or customarily holds a particular office or position.
  • D. officeHoldersBelongTo
    Indicates that designated office holders are affiliated with or part of a particular organization, institution, or administrative unit.
  • E. officeHolderOccupation
    Indicates that the occupation describes the role or job held by an office holder.
  • 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_69f76e102b5881909e5d63a30a5cecbe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037ce53de881908cf14141cf3bc570 completed May 12, 2026, 7:17 p.m.
Created at: May 3, 2026, 4:05 p.m.