Triple

T7696531
Position Surface form Disambiguated ID Type / Status
Subject Hanunoo E174383 entity
Predicate hasIndependentVowelSigns P18517 FINISHED
Object yes 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: yes | Statement: [Hanunoo, hasIndependentVowelSigns, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIndependentVowelSigns
Context triple: [Hanunoo, hasIndependentVowelSigns, yes]
  • A. hasIndependentVowelLetters chosen
    Indicates that a writing system includes separate, standalone vowel characters rather than representing vowels only through modifications of consonant letters.
  • B. hasDependentVowels
    Indicates that a writing system or script uses vowel signs that are attached to or depend on consonant characters rather than standing alone as independent letters.
  • C. hasNumberOfVowelSigns
    Indicates the count of vowel signs associated with or present in a given linguistic unit (such as a character, syllable, or word).
  • D. hasConsonantSigns
    Indicates that one entity possesses or includes consonant sign characters as part of its representation or structure.
  • E. hasVowelHarmony
    Indicates that the phonological vowels in a word or morpheme conform to a systematic harmony pattern (e.g., all front or all back vowels) according to the language’s vowel harmony rules.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70402169481909b219dc5f4a64b9b completed March 27, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69c70165e78c8190bf6b3c34e243cb81 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:03 p.m.