Triple

T35511070
Position Surface form Disambiguated ID Type / Status
Subject Railroad (Fallout 4) E1026285 entity
Predicate moralityPerceptionInGame P163062 FINISHED
Object controversial but idealistic 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: controversial but idealistic | Statement: [Railroad (Fallout 4), moralityPerceptionInGame, controversial but idealistic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralityPerceptionInGame
Context triple: [Railroad (Fallout 4), moralityPerceptionInGame, controversial but idealistic]
  • A. moralPerceptionByCommunity chosen
    Indicates that a community collectively perceives, judges, or evaluates something as morally right, wrong, or significant.
  • B. hasMoralPerspective
    Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
  • C. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • D. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • E. moralOutcome
    Indicates the moral or ethical status resulting from an action, event, or decision, such as whether it is judged right, wrong, good, or bad.
  • 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_69f76dfd61208190b93ec6dc439cab41 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ec355048190af30123ceb6efa2b completed May 3, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69f79e4bdbcc8190be7a0d2cf8a77b64 completed May 3, 2026, 7:13 p.m.
Created at: May 3, 2026, 4:04 p.m.