Triple

T1161286
Position Surface form Disambiguated ID Type / Status
Subject Transition Radiation Detector E24495 entity
Predicate radiatorMaterial P1272 FINISHED
Object low-Z materials 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: low-Z materials | Statement: [Transition Radiation Detector, radiatorMaterial, low-Z materials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: radiatorMaterial
Context triple: [Transition Radiation Detector, radiatorMaterial, low-Z materials]
  • A. materialUsed chosen
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • B. exteriorMaterial
    Indicates the material that forms the outer surface or outer construction of an object or structure.
  • C. chassisMaterialFeature
    Indicates that an entity has a chassis characterized by a specific material-related feature or property.
  • D. carbodyMaterial
    Indicates the material from which a vehicle’s body or main structural shell is made.
  • E. wallMaterial
    Indicates that one entity is the material from which a wall or walls of another entity are constructed.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb1915081908834ced85d09e299 completed March 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69a4bb525b648190adcb7a29256d3c41 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:45 p.m.