Triple

T352020
Position Surface form Disambiguated ID Type / Status
Subject Operation Chastise E7462 entity
Predicate locationOfTargetRegion P9687 FINISHED
Object North Rhine-Westphalia E20221 NE FINISHED

How this triple was built (3 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: North Rhine-Westphalia | Statement: [Operation Chastise, locationOfTargetRegion, North Rhine-Westphalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Rhine-Westphalia
Context triple: [Operation Chastise, locationOfTargetRegion, North Rhine-Westphalia]
  • A. North Rhine-Westphalia chosen
    North Rhine-Westphalia is Germany’s most populous federal state, known for its major industrial regions, cultural hubs like Cologne and Düsseldorf, and numerous universities and research institutions.
  • B. Lower Saxony
    Lower Saxony is a large federal state in northwestern Germany known for its diverse landscapes, strong industrial base, and historic cities such as Hanover and Göttingen.
  • C. Baden-Württemberg
    Baden-Württemberg is a federal state in southwest Germany known for its strong economy, automotive industry, and cities like Stuttgart, Heidelberg, and Freiburg.
  • D. Thuringia
    Thuringia is a federal state in central Germany known for its forested landscapes, historic cities like Weimar and Erfurt, and its rich cultural and intellectual heritage.
  • E. Mecklenburg-Vorpommern
    Mecklenburg-Vorpommern is a federal state in northeastern Germany known for its Baltic Sea coastline, numerous lakes, and relatively low population density.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locationOfTargetRegion
Context triple: [Operation Chastise, locationOfTargetRegion, North Rhine-Westphalia]
  • A. foundInRegion chosen
    Indicates that something is located within, occurs in, or is associated with a specific geographic or spatial region.
  • B. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • C. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • D. regionName
    Indicates the name assigned to a specific geographic or administrative region.
  • E. observedInRegion
    Indicates that something has been detected, recorded, or seen occurring within a specified geographic or spatial region.
  • F. None of above.

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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb7f1be88190964ddcbb6a05f021 completed Feb. 28, 2026, 1:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089817248190b53d78e5b937026b completed March 2, 2026, 3:48 a.m.
PD Predicate disambiguation batch_69a2e9571bd88190b6fcb16f21604720 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.