Triple

T12766411
Position Surface form Disambiguated ID Type / Status
Subject Puquina E305135 entity
Predicate hasPhonologicalReconstructionStatus P94599 FINISHED
Object very limited 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: very limited | Statement: [Puquina, hasPhonologicalReconstructionStatus, very limited]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhonologicalReconstructionStatus
Context triple: [Puquina, hasPhonologicalReconstructionStatus, very limited]
  • A. hasLexicalReconstruction
    Indicates that there exists a hypothesized or reconstructed lexical form corresponding to a word or expression, typically inferred for an earlier or unattested stage of a language.
  • B. hasPhonologicalDescriptionStatus chosen
    Indicates that there exists a specified status or condition associated with the phonological description of an entity.
  • C. hasPhonologicalStudyBy
    Indicates that a phonological analysis or study has been conducted by a specified agent on a given linguistic subject.
  • D. hasPhonologicalBasisFor
    Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
  • E. hasPhonologicalChange
    Indicates a relationship where one linguistic form undergoes a change in its sound structure relative to another form or earlier state.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69d96409739881909174ba005a986cb5 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:28 p.m.