Triple

T189374
Position Surface form Disambiguated ID Type / Status
Subject Sanskrit E3683 entity
Predicate phonologicalFeature P662 FINISHED
Object rich system of consonants including retroflex 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: rich system of consonants including retroflex stops | Statement: [Sanskrit, phonologicalFeature, rich system of consonants including retroflex stops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: phonologicalFeature
Context triple: [Sanskrit, phonologicalFeature, rich system of consonants including retroflex stops]
  • A. hasPhonemicContrast
    Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
  • B. vocalization
    Indicates the act or manner of producing sounds or calls, typically as a means of communication.
  • C. hasStressPattern
    Indicates that an entity (such as a word or phrase) follows a particular arrangement of stressed and unstressed units (e.g., syllables) in its pronunciation.
  • D. glottocode
    Indicates the standardized Glottolog code that uniquely identifies the language or dialect associated with an entity.
  • E. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594c385481909e1e088e45c460a4 completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a25672332081909386f35f3ca15dd2 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.