Triple

T7279797
Position Surface form Disambiguated ID Type / Status
Subject wage-fund doctrine E163116 entity
Predicate viewOnPopulation P76212 FINISHED
Object population growth can reduce wages if the fund is fixed 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: population growth can reduce wages if the fund is fixed | Statement: [wage-fund doctrine, viewOnPopulation, population growth can reduce wages if the fund is fixed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnPopulation
Context triple: [wage-fund doctrine, viewOnPopulation, population growth can reduce wages if the fund is fixed]
  • A. viewOnHereafter
    Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
  • B. viewOnCreation
    Indicates that an entity is viewed or accessed immediately at the moment it is created.
  • C. viewOnInterest
    Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
  • D. viewOnHumanity
    Indicates a stance, opinion, or overall perspective that an entity holds regarding humanity as a whole.
  • E. viewOnValue
    Indicates a relationship where one entity holds or expresses a particular perspective, opinion, or stance regarding a specific value or principle.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76a84a081908d4184c55b728e48 completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6eb88a2648190acc79eeee8733705 completed March 27, 2026, 8:41 p.m.
Created at: March 27, 2026, 2:59 p.m.