Triple

T12856608
Position Surface form Disambiguated ID Type / Status
Subject Operation Atlantic E307470 entity
Predicate opposedByUnitType P31619 FINISHED
Object German armoured divisions 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: German armoured divisions | Statement: [Operation Atlantic, opposedByUnitType, German armoured divisions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposedByUnitType
Context triple: [Operation Atlantic, opposedByUnitType, German armoured divisions]
  • A. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • B. hasOpposingForceType chosen
    Indicates that one force is characterized as being of a type that opposes or counteracts another force.
  • C. opposingCommanderSide
    Indicates that one commander is on the opposing or enemy side relative to another commander in a conflict or confrontation.
  • D. opposedByGroup
    Indicates that an action, proposal, or entity is met with opposition or resistance from a particular group.
  • E. opposingAlliance
    Indicates that two entities belong to rival or mutually opposed alliances or factions.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69d96fa3002881908000357b1f95a3ac completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:37 p.m.