Triple

T16492801
Position Surface form Disambiguated ID Type / Status
Subject Electron E400606 entity
Predicate hasGyromagneticRatio P123736 FINISHED
Object ≈−1.760859×10^11 rad·s^−1·T^−1 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: ≈−1.760859×10^11 rad·s^−1·T^−1 | Statement: [Electron, hasGyromagneticRatio, ≈−1.760859×10^11 rad·s^−1·T^−1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGyromagneticRatio
Context triple: [Electron, hasGyromagneticRatio, ≈−1.760859×10^11 rad·s^−1·T^−1]
  • A. hasMagneticMoment
    Indicates that an entity possesses a magnetic moment, characterizing the strength and orientation of its magnetism.
  • B. magnetizationProportionalTo
    Indicates that the magnetization of one entity varies in direct proportion to a specified quantity or property of another entity.
  • C. isFerromagnetic
    Indicates that a material exhibits ferromagnetism, meaning it can be permanently magnetized and shows strong attraction to magnetic fields due to aligned magnetic domains.
  • D. isParamagnetic
    Indicates that an entity exhibits paramagnetism, meaning it is weakly attracted by an external magnetic field due to the presence of unpaired electrons.
  • E. magneticFieldStrength
    Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
  • F. None of above. chosen

Provenance (4 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e30cb648190a52cb32896c4ac5a completed April 18, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69e296902d6c8190884ddb612b8c5b36 completed April 17, 2026, 8:22 p.m.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:13 a.m.