Triple

T20028058
Position Surface form Disambiguated ID Type / Status
Subject ATSD(PA) E495038 entity
Predicate hasRankEquivalent P18223 FINISHED
Object Assistant Secretary of Defense-level position 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: Assistant Secretary of Defense-level position | Statement: [ATSD(PA), hasRankEquivalent, Assistant Secretary of Defense-level position]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRankEquivalent
Context triple: [ATSD(PA), hasRankEquivalent, Assistant Secretary of Defense-level position]
  • A. rankEquivalent
    Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
  • B. hasComparableRank chosen
    Indicates that two entities hold positions or levels that are equivalent or similar in rank within a given hierarchy or system.
  • C. hasPatriarchalEquivalentRank
    Indicates that one entity holds a rank that is equivalent, in a patriarchal hierarchy or system, to the rank held by another entity.
  • D. hasRankVariant
    Indicates that one entity is an alternative or variant form of another entity’s rank or hierarchical level.
  • E. containsRank
    Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628f67e081909b9e69dfbe2127ce completed April 20, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:35 p.m.