Triple

T3451373
Position Surface form Disambiguated ID Type / Status
Subject Kyrgyz E72799 entity
Predicate hasTenseCategory P9327 FINISHED
Object past 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: past | Statement: [Kyrgyz, hasTenseCategory, past]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTenseCategory
Context triple: [Kyrgyz, hasTenseCategory, past]
  • A. hasTense chosen
    Indicates that an action, event, or state is associated with a specific grammatical tense (such as past, present, or future).
  • B. hasTenseAspect
    Indicates that a verb or clause is associated with a specific grammatical tense and aspect configuration.
  • C. hasTenseAspectSystem
    Indicates that a language or clause employs a particular system for expressing tense and aspect distinctions.
  • D. hasPastTenseEnding
    Indicates that a verb form ends with a morphological marker typically used to express past tense.
  • E. hasFutureTenseEnding
    Indicates that a verb or expression carries a morphological ending marking future tense.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69adae0255b48190a9069f7871c7a012 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.