Triple

T7377096
Position Surface form Disambiguated ID Type / Status
Subject Piapoco language E170152 entity
Predicate grammaticalAlignment P76654 FINISHED
Object nominative–accusative (tendency) 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: nominative–accusative (tendency) | Statement: [Piapoco language, grammaticalAlignment, nominative–accusative (tendency)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grammaticalAlignment
Context triple: [Piapoco language, grammaticalAlignment, nominative–accusative (tendency)]
  • A. grammaticalStructure
    Indicates the way linguistic elements are organized and related within a sentence or phrase according to grammatical rules.
  • B. grammaticalForm
    Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
  • C. hasGrammaticalSimilarityTo
    Indicates that two linguistic elements share similar grammatical structure, form, or function.
  • D. grammaticalType
    Indicates the grammatical category or role (such as part of speech or syntactic function) that an expression has within a language.
  • E. grammaticalDescription
    Indicates that one entity provides a description or explanation of the grammatical properties or structure of another entity.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a8b18c8190ad1a19521eda2319 completed March 27, 2026, 9:07 p.m.
PD Predicate disambiguation batch_69c6f02ee3e08190a7a00c981129b22c completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f0ebf9c88190af5a4d87d3fd338a completed March 27, 2026, 9:04 p.m.
Created at: March 27, 2026, 3:07 p.m.