Triple

T1463349
Position Surface form Disambiguated ID Type / Status
Subject Lorentz contraction E31562 entity
Predicate requiresForMeasurement P100 FINISHED
Object simultaneous determination of endpoints in observer’s frame 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: simultaneous determination of endpoints in observer’s frame | Statement: [Lorentz contraction, requiresForMeasurement, simultaneous determination of endpoints in observer’s frame]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresForMeasurement
Context triple: [Lorentz contraction, requiresForMeasurement, simultaneous determination of endpoints in observer’s frame]
  • A. hasMeasurement
    Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
  • B. requires chosen
    Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
  • C. requiredBy
    Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
  • D. measuredBy
    Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
  • E. requiresDetectionOf
    Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5b89708819084fb9ba4ff293b8b completed March 1, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69a4c48121e48190946c23c583e5fb64 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.