Triple

T3577931
Position Surface form Disambiguated ID Type / Status
Subject ECHELON E75731 entity
Predicate allegedUse P49815 FINISHED
Object military intelligence 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: military intelligence | Statement: [ECHELON, allegedUse, military intelligence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allegedUse
Context triple: [ECHELON, allegedUse, military intelligence]
  • A. endedUseWith
    Indicates that an entity has stopped or terminated its use or association with another entity.
  • B. eligibleUses
    Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
  • C. actualUse
    Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
  • D. isUsedUnder
    Indicates that one entity is utilized or applied within the context, conditions, or framework defined by another entity.
  • E. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0dd3e048190a0c6666e13ead9cd completed March 8, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb8e4ba948190a9b777cf7f788b96 completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:21 p.m.