Triple

T35009452
Position Surface form Disambiguated ID Type / Status
Subject Brotherhood Outcasts E1009905 entity
Predicate opposesFocusOn P119009 FINISHED
Object direct protection of wasteland civilians 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: direct protection of wasteland civilians | Statement: [Brotherhood Outcasts, opposesFocusOn, direct protection of wasteland civilians]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposesFocusOn
Context triple: [Brotherhood Outcasts, opposesFocusOn, direct protection of wasteland civilians]
  • A. opposedFocus chosen
    Indicates that one entity’s focus, attention, or emphasis is directed in opposition to, or in contrast with, the focus of another entity.
  • B. lessFocusOn
    Indicates that one entity directs reduced attention, emphasis, or priority toward another entity or activity compared to alternatives.
  • C. opposedBecause
    Indicates that one entity is opposed to another specifically due to a particular reason, cause, or justification.
  • D. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • E. opposesEffectOf
    Indicates that one entity counteracts, reduces, or nullifies the effect produced by another entity.
  • 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_69f76dcc3ac8819096a3ed52f5fa2523 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd474b7e788190a9bb9b542d878f60 completed May 8, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69fd46d8b2f0819099d92d72c902f60e completed May 8, 2026, 2:13 a.m.
Created at: May 3, 2026, 4:01 p.m.