Triple

T3099509
Position Surface form Disambiguated ID Type / Status
Subject Ranger Assessment and Selection Program E64679 entity
Predicate selectionOutcome P22603 FINISHED
Object assignment to the 75th Ranger Regiment 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: assignment to the 75th Ranger Regiment | Statement: [Ranger Assessment and Selection Program, selectionOutcome, assignment to the 75th Ranger Regiment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: selectionOutcome
Context triple: [Ranger Assessment and Selection Program, selectionOutcome, assignment to the 75th Ranger Regiment]
  • A. selectionMadeBy
    Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
  • B. outcomeType chosen
    Indicates the specific category or nature of the result produced by an event, process, or action.
  • C. selectionProcess
    Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
  • D. resultDetermination
    Indicates the process or criteria by which an outcome, decision, or result is established or concluded from given inputs or conditions.
  • E. decidesOn
    Indicates that an agent makes a choice or determination regarding a particular option, issue, or course of action.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada269a9188190aada5b3799d4dfd7 completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df06ed88190809f0683122caa5a completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:03 p.m.