Triple

T28683576
Position Surface form Disambiguated ID Type / Status
Subject Scout Oath E726068 entity
Predicate moralComponent P53261 FINISHED
Object morally straight 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: morally straight | Statement: [Scout Oath, moralComponent, morally straight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralComponent
Context triple: [Scout Oath, moralComponent, morally straight]
  • A. moralCriterion
    Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
  • B. moralConcept chosen
    Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
  • C. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • D. moralTendency
    Indicates a general inclination or propensity of an entity to act in ways judged as morally right or wrong.
  • E. moralBelief
    Indicates that an agent holds a normative judgment about what is right, wrong, good, or bad in a given context.
  • 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_69f01d867608819086bc3e6b4f9de866 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6645ba71c81908044ade6ab577018 completed May 2, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69f663362c008190a22afed262f1e426 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 5:10 a.m.