Triple

T24123456
Position Surface form Disambiguated ID Type / Status
Subject Tapirapé language E597725 entity
Predicate hasMorphosyntax P154936 FINISHED
Object extensive use of suffixes 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: extensive use of suffixes | Statement: [Tapirapé language, hasMorphosyntax, extensive use of suffixes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMorphosyntax
Context triple: [Tapirapé language, hasMorphosyntax, extensive use of suffixes]
  • A. hasMorphosyntacticBasis
    Indicates that one linguistic element’s form or syntactic behavior is grounded in, derived from, or systematically determined by another element’s morphosyntactic properties.
  • B. hasVerbalMorphology
    Indicates that one linguistic element exhibits verbal inflectional properties or patterns in relation to another.
  • C. hasMorphologicalMix
    Indicates that an entity exhibits a combination of different morphological types or structures within a single form or system.
  • D. hasNominalMorphology
    Indicates that an entity possesses a system of nominal morphology, such as inflectional or derivational markers on nouns.
  • E. hasMorphologicalState
    Indicates that an entity possesses or is characterized by a particular morphological condition, form, or structural state.
  • F. None of above. chosen

Provenance (4 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_69e288c808b881909fed7d18f04bcbbe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dee718f88190860d40c6f09a77c8 completed April 29, 2026, 10:35 a.m.
PD Predicate disambiguation batch_69f1765650fc8190a6bc1eb512b240bf completed April 29, 2026, 3:09 a.m.
PDg Predicate description generation batch_69f17c28b684819084eea522126463f8 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 11:06 p.m.