Triple

T35439048
Position Surface form Disambiguated ID Type / Status
Subject Enga language E1024290 entity
Predicate hasPluralSuffixes P185322 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: [Enga language, hasPluralSuffixes, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPluralSuffixes
Context triple: [Enga language, hasPluralSuffixes, true]
  • A. hasPluralForm
    Indicates that one term is the plural grammatical form of another term.
  • B. hasPlurality
    Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
  • C. usesSuffixes chosen
    Indicates that one entity forms or modifies words by attaching suffixes to another entity (typically a base form or stem).
  • D. hasPluralFamilyNameForm
    Indicates that an entity’s family name has a corresponding pluralized form used to refer to multiple members of the family.
  • E. hasPossessiveAffixes
    Indicates that an entity (typically a word or morpheme) carries affixes that mark grammatical possession or ownership.
  • 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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd9ff026a48190bfec33deeb3b2c43 completed May 8, 2026, 8:33 a.m.
PD Predicate disambiguation batch_69fd97d805bc8190ba12f429d3ad04c7 completed May 8, 2026, 7:59 a.m.
Created at: May 3, 2026, 4:04 p.m.