Triple

T6954101
Position Surface form Disambiguated ID Type / Status
Subject ECV-197 E161196 entity
Predicate secondaryMissionType P62593 FINISHED
Object defense 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: defense | Statement: [ECV-197, secondaryMissionType, defense]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryMissionType
Context triple: [ECV-197, secondaryMissionType, defense]
  • A. secondaryMissionField chosen
    Indicates a secondary or supporting operational area or objective associated with the primary mission.
  • B. secondaryGoal
    Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
  • C. secondaryTo
    Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
  • D. secondaryTarget
    Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
  • E. primaryMissionTo
    Indicates that an entity has a main or principal mission directed toward or focused on 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:29 p.m.