Triple

T249302
Position Surface form Disambiguated ID Type / Status
Subject Feynman O-ring ice water demonstration E5107 entity
Predicate involvedPhysicalEffect P8792 FINISHED
Object thermal contraction 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: thermal contraction | Statement: [Feynman O-ring ice water demonstration, involvedPhysicalEffect, thermal contraction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvedPhysicalEffect
Context triple: [Feynman O-ring ice water demonstration, involvedPhysicalEffect, thermal contraction]
  • A. primaryEffect
    Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
  • B. involvesProjectile
    Indicates that the action or event includes the use, presence, or motion of a projectile as a key component of the interaction between entities.
  • C. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • D. affectedArea
    Indicates the specific region or extent over which an event, condition, or influence has an impact.
  • E. strength
    Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d3728f0819086214ccc2db2305a completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b64ea3081908de626a0e1445bdb completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25c2ca46c81908c61696f31e59a98 completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.