Triple

T32107095
Position Surface form Disambiguated ID Type / Status
Subject Cowan–Reines neutrino experiment E820011 entity
Predicate usedCoincidenceTechnique P8701 FINISHED
Object time-coincidence detection of gamma rays 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: time-coincidence detection of gamma rays | Statement: [Cowan–Reines neutrino experiment, usedCoincidenceTechnique, time-coincidence detection of gamma rays]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedCoincidenceTechnique
Context triple: [Cowan–Reines neutrino experiment, usedCoincidenceTechnique, time-coincidence detection of gamma rays]
  • A. usedByTechnique
    Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
  • B. vertexDetectorTechnology
    Indicates the specific detection technology or method used in the vertex detector component of a particle physics or tracking system.
  • C. observingTechnique chosen
    Indicates the method or procedure used to carry out an observation.
  • D. usesMeasurementTechnique
    Indicates that an entity performs, applies, or relies on a specified measurement technique to obtain quantitative or qualitative data.
  • E. usedInDetector
    Indicates that something (e.g., a component, material, or method) is employed as part of a detector or detection system.
  • 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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b967d5308190bbb66d0a8dd52612 completed May 3, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69f6b6293188819080d5041ca0adb969 completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:27 a.m.