Triple

T28758840
Position Surface form Disambiguated ID Type / Status
Subject Polyakov–Nambu–Jona-Lasinio model E731749 entity
Predicate orderParameters P110986 FINISHED
Object chiral condensate 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: chiral condensate | Statement: [Polyakov–Nambu–Jona-Lasinio model, orderParameters, chiral condensate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orderParameters
Context triple: [Polyakov–Nambu–Jona-Lasinio model, orderParameters, chiral condensate]
  • A. orderParameter
    Indicates the degree of structural or phase organization in a system, typically quantifying how ordered or coherent its state is relative to disorder.
  • B. orderParameterOf chosen
    Indicates that one entity is an order parameter that characterizes the state or phase behavior of another entity.
  • C. orderContext
    Indicates the situational or transactional circumstances under which an order is placed, processed, or interpreted.
  • D. order
    Indicates that one entity requests, arranges, or directs that another entity provide a good, service, or action, typically in a specified sequence or priority.
  • E. ordersBy
    Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
  • 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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 28, 2026, 6:10 a.m.