Triple

T19377000
Position Surface form Disambiguated ID Type / Status
Subject La2CuO4 E484697 entity
Predicate magneticOrder P133533 FINISHED
Object antiferromagnetic 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: antiferromagnetic | Statement: [La2CuO4, magneticOrder, antiferromagnetic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: magneticOrder
Context triple: [La2CuO4, magneticOrder, antiferromagnetic]
  • A. magneticOrdering chosen
    Indicates the type of magnetic alignment or arrangement that exists between the magnetic moments of entities in a material or system.
  • B. magneticInteraction
    Indicates a relationship in which entities exert forces or influences on each other due to their magnetic fields or magnetic properties.
  • C. magneticActivity
    Indicates a relationship where an entity exhibits, causes, or is characterized by magnetic phenomena such as fields, storms, or fluctuations.
  • D. magneticCharge
    Indicates that an entity possesses a specified magnetic charge or is associated with a particular quantity or type of magnetic charge.
  • E. magnetizationArisesFrom
    Indicates that a magnetization property or state is caused or generated by a specified underlying process, structure, or source.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5cfbf48190ac60e3ffa6baa263 completed April 20, 2026, 12:21 p.m.
PD Predicate disambiguation batch_69e4fd54f8e48190956e73dd8969164a completed April 19, 2026, 4:05 p.m.
Created at: April 10, 2026, 1:35 p.m.