Triple

T2062929
Position Surface form Disambiguated ID Type / Status
Subject BANZSL E45831 entity
Predicate hasPrimaryArticulation P17482 FINISHED
Object manual 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: manual | Statement: [BANZSL, hasPrimaryArticulation, manual]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryArticulation
Context triple: [BANZSL, hasPrimaryArticulation, manual]
  • A. hasArticulation
    Indicates that one entity possesses or exhibits a specific type or structure of articulation in relation to another entity or system.
  • B. hasArticulationType chosen
    Indicates the specific manner or type of connection or joint by which two parts or entities are linked or articulated.
  • C. usesArticulators
    Indicates that an entity performs an action or produces a signal by employing specific speech or movement articulators (e.g., tongue, lips, jaw).
  • D. hasPhoneme
    Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
  • E. hasOrnamentation
    Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d239b48190a9f303446cbe3aa6 completed March 7, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69abb7aee9b48190999620176e3a6ee2 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:40 p.m.