Triple

T14386257
Position Surface form Disambiguated ID Type / Status
Subject Cham language E356729 entity
Predicate hasConsonantInventoryFeature P114038 FINISHED
Object prenasalized stops 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: prenasalized stops | Statement: [Cham language, hasConsonantInventoryFeature, prenasalized stops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConsonantInventoryFeature
Context triple: [Cham language, hasConsonantInventoryFeature, prenasalized stops]
  • A. hasConsonantInventoryType
    Indicates that an entity is characterized by a specific type or classification of consonant inventory in its phonological system.
  • B. hasLimitedConsonantInventory
    Indicates that a language possesses a relatively small set of distinct consonant sounds in its phonological system.
  • C. hasConsonantPhonemes
    Indicates that an entity possesses or includes one or more consonant phonemes in its phonological system.
  • D. hasConsonantClasses
    Indicates that an entity (typically a language or phonological system) possesses a defined set or system of consonant classes.
  • E. hasNasalConsonants
    Indicates that the subject language or word includes one or more nasal consonant sounds in its phonological inventory or pronunciation.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9025cff881908c08224d90d9f750 completed April 14, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69de2aa024c48190805df6a9d63deb10 completed April 14, 2026, 11:53 a.m.
PDg Predicate description generation batch_69de2e08b6c08190bb4c929deab236a6 completed April 14, 2026, 12:07 p.m.
Created at: April 10, 2026, 1:16 a.m.