Triple

T29630062
Position Surface form Disambiguated ID Type / Status
Subject Hixkaryána E755547 entity
Predicate hasBasicConstituentOrder P1249 FINISHED
Object object–verb–subject 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: object–verb–subject | Statement: [Hixkaryána, hasBasicConstituentOrder, object–verb–subject]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBasicConstituentOrder
Context triple: [Hixkaryána, hasBasicConstituentOrder, object–verb–subject]
  • A. hasBasicWordOrder chosen
    Indicates the typical sequence in which core sentence elements (such as subject, verb, and object) are ordered in a language.
  • B. hasOrderStructure
    Indicates that there is a defined ordering relation imposed on the elements of a set or collection, specifying how they are arranged or compared in terms of order.
  • C. hasPrimaryConstituent
    Indicates that one entity serves as the main or principal component, ingredient, or element of another entity.
  • D. hasCanonicalOrderWithinOrganon
    Indicates that one element occupies a specific, authoritative sequence position within the structured whole referred to as the Organon.
  • E. hasOrderlinessProperty
    Indicates that something possesses a characteristic related to order, organization, or structured arrangement.
  • 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_69f0ef88fbe081908f0ad90c1c413f1c completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
Created at: April 28, 2026, 6:40 p.m.