Triple

T2021647
Position Surface form Disambiguated ID Type / Status
Subject Phi Beta Kappa Society E44116 entity
Predicate membershipNumber P34566 FINISHED
Object hundreds of thousands of members 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: hundreds of thousands of members | Statement: [Phi Beta Kappa Society, membershipNumber, hundreds of thousands of members]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: membershipNumber
Context triple: [Phi Beta Kappa Society, membershipNumber, hundreds of thousands of members]
  • A. membershipStatus
    Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
  • B. clubMembership
    Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
  • C. membershipIn
    Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
  • D. membershipUnit
    Indicates that an entity belongs to, is part of, or is counted within a particular unit, group, or organizational subdivision.
  • E. membershipBased
    Indicates that access, participation, or inclusion in something is conditional on holding a membership or belonging to a defined group.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8efbe148190901d3650aa60408a completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb7a389408190a84a54856352f15b completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb83e7888819096dc40275c77daff completed March 7, 2026, 5:31 a.m.
Created at: March 4, 2026, 7:38 p.m.