Triple

T26567385
Position Surface form Disambiguated ID Type / Status
Subject Whiggism E666723 entity
Predicate intellectualFoundation P7514 FINISHED
Object social contract theory 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: social contract theory | Statement: [Whiggism, intellectualFoundation, social contract theory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intellectualFoundation
Context triple: [Whiggism, intellectualFoundation, social contract theory]
  • A. hasIntellectualFocus
    Indicates that an entity’s primary attention, study, or mental effort is directed toward a particular subject, topic, or area of interest.
  • B. culturalFoundationFor
    Indicates that one entity provides the cultural basis, background, or supporting context that underlies or enables another entity.
  • C. intellectualTrend chosen
    Indicates a relationship where an idea, movement, or way of thinking is recognized as an intellectual trend influencing thought or discourse.
  • D. educatedIn
    Indicates that an entity received education or formal training at a specified institution or place.
  • E. educationAndCulture
    Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
  • 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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614a0c2408190b494a3d1f624c042 completed May 2, 2026, 3:13 p.m.
PD Predicate disambiguation batch_69f60b8bb0d08190ab5a9a2a8847c6f4 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 1:56 a.m.