Triple

T28943744
Position Surface form Disambiguated ID Type / Status
Subject O1 E730523 entity
Predicate sensitivityLevel P24994 FINISHED
Object first advanced-detector sensitivity run 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: first advanced-detector sensitivity run | Statement: [O1, sensitivityLevel, first advanced-detector sensitivity run]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sensitivityLevel
Context triple: [O1, sensitivityLevel, first advanced-detector sensitivity run]
  • A. sensitivityFeature chosen
    Indicates a relationship where one entity functions as a sensitivity-related characteristic, parameter, or attribute of another entity.
  • B. securityLevelDetail
    Indicates the specific classification or degree of security associated with an entity, often including nuanced or descriptive information about its protection level.
  • C. exposureLevel
    Indicates the degree or intensity to which an entity is subjected or exposed to a particular factor, condition, or influence.
  • D. disclosureLevel
    Indicates the extent or degree to which information is revealed, shared, or made accessible in a given context.
  • E. hasSensibility
    Indicates that an entity possesses awareness, responsiveness, or sensitivity to stimuli or experiences.
  • 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_69f043ea0aa88190a25acbf46157995a completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65b85839c8190be57052eaef1d74f completed May 2, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 8:38 a.m.