Triple

T159015
Position Surface form Disambiguated ID Type / Status
Subject Ranger Tab E3239 entity
Predicate wearerQualification P1130 FINISHED
Object graduate of U.S. Army Ranger School 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: graduate of U.S. Army Ranger School | Statement: [Ranger Tab, wearerQualification, graduate of U.S. Army Ranger School]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wearerQualification
Context triple: [Ranger Tab, wearerQualification, graduate of U.S. Army Ranger School]
  • A. wears
    Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
  • B. authorizedHeadgear
    Indicates that a particular item of headgear is officially permitted or approved for use in a given context or by a specific authority.
  • C. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • D. winnerQualifiedFor
    Indicates that the entity identified as the winner has earned or met the conditions required to qualify for a subsequent stage, event, or status.
  • E. eligibilityCriteria chosen
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2583169a0819081b658882e5bc452 completed Feb. 28, 2026, 2:51 a.m.
PD Predicate disambiguation batch_69a25660c2a48190b4174d5e6da3cb9d completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.