Triple

T35602943
Position Surface form Disambiguated ID Type / Status
Subject Maintenance Domain E1028803 entity
Predicate mayBeType P14124 FINISHED
Object customer Maintenance Domain 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: customer Maintenance Domain | Statement: [Maintenance Domain, mayBeType, customer Maintenance Domain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeType
Context triple: [Maintenance Domain, mayBeType, customer Maintenance Domain]
  • A. mayBeDeclared
    Indicates that something has the potential or permission to be formally stated, specified, or announced, but has not necessarily been declared yet.
  • B. canBeTypeOf chosen
    Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
  • C. mayBeEqualTo
    Indicates that two entities are possibly equal, but their equality is uncertain or not definitively established.
  • D. mayBeExtended
    Indicates that something has the potential or option to be lengthened in duration, scope, or size beyond its current or initial limits.
  • E. mayAlsoBeCalled
    Indicates that one entity can alternatively be referred to by another name or label.
  • 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_69f76e0653ec81909b1b813c126c6574 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd13595c81908719f52c3d37a7e8 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:05 p.m.