Triple

T15470348
Position Surface form Disambiguated ID Type / Status
Subject Okwanuchu E372142 entity
Predicate hasVeryLimitedData P18537 FINISHED
Object true 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: true | Statement: [Okwanuchu, hasVeryLimitedData, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVeryLimitedData
Context triple: [Okwanuchu, hasVeryLimitedData, true]
  • A. hasLimitedParticipation
    Indicates that an entity is involved in an activity, event, or process only to a restricted or constrained extent, rather than with full participation.
  • B. hasLimitedDocumentation
    Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
  • C. hasLimitedNature
    Indicates that an entity possesses a restricted, finite, or constrained nature or scope in some respect.
  • D. hasLimitedCorpus chosen
    Indicates that the associated entity possesses only a small or restricted set of available data, texts, or examples for use or analysis.
  • E. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69ded284bd008190b31c53b4f1cebadd completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:33 a.m.