Triple

T15624487
Position Surface form Disambiguated ID Type / Status
Subject Renata E375644 entity
Predicate hasPowerCategory P66833 FINISHED
Object defensive ability 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: defensive ability | Statement: [Renata, hasPowerCategory, defensive ability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPowerCategory
Context triple: [Renata, hasPowerCategory, defensive ability]
  • A. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • B. hasPowerBase
    Indicates that an entity derives support, influence, or authority from a particular group, location, or resource that serves as its primary base of power.
  • C. hadPowerType chosen
    Indicates that an entity possessed or was associated with a specific type or category of power.
  • D. hasNumberOfPowers
    Indicates the quantity of distinct powers or abilities that an entity possesses.
  • E. hasSupportCategory
    Indicates that an entity is associated with a particular type or category of support it receives or provides.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
PD Predicate disambiguation batch_69deda868d4481908f4bce1c64d2902a completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:14 a.m.