Triple

T13476184
Position Surface form Disambiguated ID Type / Status
Subject Curie E318256 entity
Predicate hasEponym P12247 FINISHED
Object Curie point E123110 NE 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: Curie point | Statement: [Curie, hasEponym, Curie point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curie point
Context triple: [Curie, hasEponym, Curie point]
  • A. Curie point (Curie temperature) chosen
    The Curie point (Curie temperature) is the critical temperature at which a ferromagnetic or ferrimagnetic material loses its permanent magnetism and becomes paramagnetic.
  • B. Néel temperature
    Néel temperature is the critical temperature below which an antiferromagnetic material transitions from a disordered to an ordered magnetic state.
  • C. Krafft point
    The Krafft point is the characteristic temperature above which ionic surfactants become sufficiently soluble in water to form micelles, marking a sharp change in their solution behavior.
  • D. Curie constant
    The Curie constant is a material-specific proportionality factor that characterizes how a paramagnetic substance’s magnetic susceptibility varies inversely with temperature.
  • E. Curie–Weiss law
    The Curie–Weiss law is a refinement of Curie’s law in magnetism that accounts for magnetic interactions between atoms by introducing a characteristic temperature, improving the description of paramagnetic susceptibility near ferromagnetic phase transitions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547f6b1c8190965b239da0b47e93 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.