Triple

T29267954
Position Surface form Disambiguated ID Type / Status
Subject Lembaga (clan chief) E742026 entity
Predicate genderSystemContext P11611 FINISHED
Object matrilineal descent with male leadership roles 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: matrilineal descent with male leadership roles | Statement: [Lembaga (clan chief), genderSystemContext, matrilineal descent with male leadership roles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genderSystemContext
Context triple: [Lembaga (clan chief), genderSystemContext, matrilineal descent with male leadership roles]
  • A. hasGenderSystem chosen
    Indicates that an entity employs or is characterized by a particular system for categorizing gender.
  • B. genderConfiguration
    Indicates how the genders of the involved entities are arranged or combined within a particular relationship or context.
  • C. genderCategories
    Indicates the classification of an entity into one or more gender-related categories or identities.
  • D. genderRule
    Indicates a rule or constraint that determines how gender-related properties or classifications should be assigned or interpreted in a given context.
  • E. genderRoleAssociation
    Indicates an association between a gender and a particular social role, behavior, or expectation.
  • 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_69f0912124d48190a046642b69407f4c completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66d7765208190b87b1cc6d96a151c completed May 2, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69f66abfdaf08190a55f14c70be6fd4d completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 12:46 p.m.