Triple

T24664662
Position Surface form Disambiguated ID Type / Status
Subject A3526 E610636 entity
Predicate intraclusterMediumTemperature P63271 FINISHED
Object several keV 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: several keV | Statement: [A3526, intraclusterMediumTemperature, several keV]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intraclusterMediumTemperature
Context triple: [A3526, intraclusterMediumTemperature, several keV]
  • A. temperatureOfIntraclusterMedium chosen
    Indicates the temperature value associated with the intracluster medium in a galaxy cluster.
  • B. hasIntraclusterMedium
    Indicates that a galaxy cluster possesses a diffuse, hot gas component filling the space between its member galaxies.
  • C. typicalTemperature
    Indicates the usual or characteristic temperature associated with an entity under normal conditions.
  • D. operatingTemperature
    Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
  • E. hasTemperatureOfICM
    Indicates that an entity (e.g., a medium or environment) possesses a specific temperature value associated with the intracluster medium (ICM).
  • 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_69e2c4d505cc8190981881df06c0bf52 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 2:34 a.m.