Triple

T33006189
Position Surface form Disambiguated ID Type / Status
Subject ACMC E844505 entity
Predicate rankRelativePosition P22893 FINISHED
Object second-highest-ranking officer in the United States Marine Corps 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: second-highest-ranking officer in the United States Marine Corps | Statement: [ACMC, rankRelativePosition, second-highest-ranking officer in the United States Marine Corps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankRelativePosition
Context triple: [ACMC, rankRelativePosition, second-highest-ranking officer in the United States Marine Corps]
  • A. rankComparedTo chosen
    Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
  • B. rankEquivalent
    Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
  • C. rankingPositions
    Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
  • D. relativePosition
    Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
  • E. relativePositioning
    Indicates how one entity is spatially arranged or located in relation to 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_69f3494e59f08190b9127c693e5c7e8f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:23 a.m.