Triple

T15339995
Position Surface form Disambiguated ID Type / Status
Subject Mamulique language E366764 entity
Predicate hasLinguisticEvidence P14924 FINISHED
Object limited vocabulary 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: limited vocabulary | Statement: [Mamulique language, hasLinguisticEvidence, limited vocabulary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLinguisticEvidence
Context triple: [Mamulique language, hasLinguisticEvidence, limited vocabulary]
  • A. hasLanguageEvidenceOf chosen
    Indicates that there is linguistic or textual evidence supporting, documenting, or attesting to the related entity or claim.
  • B. hasLinguisticDocumentation
    Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
  • C. hasLinguisticElement
    Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
  • D. hasLinguisticFeature
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • E. hasLinguist
    Indicates that an entity is associated with or possesses a linguist, typically as a member, employee, collaborator, or resource.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
PD Predicate disambiguation batch_69deca9659f48190b8661df223ce5078 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:17 a.m.