Triple

T4877521
Position Surface form Disambiguated ID Type / Status
Subject Pocasset band of the Wampanoag E109240 entity
Predicate genderRoleSignificance P60409 FINISHED
Object female leadership through Weetamoo 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: female leadership through Weetamoo | Statement: [Pocasset band of the Wampanoag, genderRoleSignificance, female leadership through Weetamoo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genderRoleSignificance
Context triple: [Pocasset band of the Wampanoag, genderRoleSignificance, female leadership through Weetamoo]
  • A. genderCategories
    Indicates the classification of an entity into one or more gender-related categories or identities.
  • B. genderStereotypingRecognizedAs
    Indicates that a particular belief, behavior, or representation is acknowledged or classified as a form of gender stereotyping.
  • C. genderConfiguration
    Indicates how the genders of the involved entities are arranged or combined within a particular relationship or context.
  • D. genderUsage
    Indicates how a particular gender is applied, referenced, or treated within a given context or system.
  • E. genderDivision
    Indicates a relationship where roles, responsibilities, or categories are separated or distinguished based on gender.
  • F. None of above. chosen

Provenance (4 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c28e56081908ee411ac94c3769e completed March 20, 2026, 3:47 p.m.
PDg Predicate description generation batch_69bd6ff731188190a9903602122d4ff9 completed March 20, 2026, 4:04 p.m.
Created at: March 20, 2026, 1:27 p.m.