Triple

T594630
Position Surface form Disambiguated ID Type / Status
Subject Special Operations Branch E17351 entity
Predicate notableMethod P16102 FINISHED
Object clandestine insertion behind enemy lines 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: clandestine insertion behind enemy lines | Statement: [Special Operations Branch, notableMethod, clandestine insertion behind enemy lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableMethod
Context triple: [Special Operations Branch, notableMethod, clandestine insertion behind enemy lines]
  • A. notableElement
    Indicates that an entity has a component, feature, or part that is especially significant, prominent, or noteworthy in relation to it.
  • B. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • C. notableStandard
    Indicates that one entity is a widely recognized or influential standard that the other entity is associated with or exemplifies.
  • D. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • E. notableModel
    Indicates that an entity is a particularly important, influential, or exemplary instance or version within a broader category or system.
  • F. None of above. chosen

Provenance (4 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd15c5881909b59ed4c88687e7b completed March 1, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69a494ceeb7881909a91ed1a35d5bf0a completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985ada988190aaea628a9b55bca4 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.