Triple

T8511169
Position Surface form Disambiguated ID Type / Status
Subject First Foundation E201454 entity
Predicate focusContrastWith P82909 FINISHED
Object Second Foundation emphasis on mental sciences 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: Second Foundation emphasis on mental sciences | Statement: [First Foundation, focusContrastWith, Second Foundation emphasis on mental sciences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusContrastWith
Context triple: [First Foundation, focusContrastWith, Second Foundation emphasis on mental sciences]
  • A. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • B. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. focusPosition
    Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
  • D. focusesBy
    Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of it.
  • E. focusModel
    Indicates that one entity serves as the primary or central model that another entity is directed toward, based on, or concentrated on.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe608e5b08190a6d551793e8ed94b completed March 31, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69cbd10cfd208190a519049fad32c508 completed March 31, 2026, 1:50 p.m.
PDg Predicate description generation batch_69cbe12dd0b88190a38ec4d15dcc870b completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 6:15 p.m.