Triple

T159026
Position Surface form Disambiguated ID Type / Status
Subject Ranger Tab E3239 entity
Predicate doesNotNecessarilyImply P3442 FINISHED
Object assignment to 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 75th Ranger Regiment | Statement: [Ranger Tab, doesNotNecessarilyImply, assignment to 75th Ranger Regiment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotNecessarilyImply
Context triple: [Ranger Tab, doesNotNecessarilyImply, assignment to 75th Ranger Regiment]
  • A. doesNotImply chosen
    Indicates that the truth of one statement or condition does not guarantee or lead to the truth of another statement or condition.
  • B. doesNot
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • C. doesNotFullyExplain
    Indicates that one entity’s explanation of another entity, event, or situation is incomplete or insufficient to account for it fully.
  • D. implies
    Indicates that the truth of one statement guarantees or leads logically to the truth of another statement.
  • E. doesNotHave
    Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
  • 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.