Triple

T1431832
Position Surface form Disambiguated ID Type / Status
Subject Minahasan languages E30463 entity
Predicate haveMorphologicalFeature P7162 FINISHED
Object voice system typical of Philippine-type languages 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: voice system typical of Philippine-type languages | Statement: [Minahasan languages, haveMorphologicalFeature, voice system typical of Philippine-type languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveMorphologicalFeature
Context triple: [Minahasan languages, haveMorphologicalFeature, voice system typical of Philippine-type languages]
  • A. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • B. linguisticFeature
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • C. hasVowelFeature
    Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
  • D. hasSyllabicStructure
    Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
  • E. hasPhonologicalType
    Indicates that one entity is characterized by or classified as having a particular phonological type (e.g., in terms of sound structure or phonological category).
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c500a9888190a16fbb1ec97a79c9 completed March 1, 2026, 11 p.m.
PD Predicate disambiguation batch_69a4c4771c9481908ae47c959debbe77 completed March 1, 2026, 10:57 p.m.
Created at: March 1, 2026, 8 p.m.