Triple

T19527939
Position Surface form Disambiguated ID Type / Status
Subject Saumur railway tunnel E488579 entity
Predicate purposeDuringWWII P10702 FINISHED
Object German military rail supply route 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 military rail supply route | Statement: [Saumur railway tunnel, purposeDuringWWII, German military rail supply route]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: purposeDuringWWII
Context triple: [Saumur railway tunnel, purposeDuringWWII, German military rail supply route]
  • A. statusDuringWorldWarII
    Indicates the role, condition, or classification an entity had specifically during the period of World War II.
  • B. frontDuringWWII
    Indicates that an entity served as a military front or active combat theater during World War II.
  • C. purposeDuringHolocaust
    Indicates that something’s purpose, role, or intended function is specifically situated within the historical context of the Holocaust.
  • D. WWIIUse chosen
    Indicates that one entity made use of another entity during World War II, typically for military, strategic, or wartime-related purposes.
  • E. operatorDuringWorldWarII
    Indicates that an entity operated or was active in its role during the period of World War II.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363d43148190af25caaa57accf9b completed April 20, 2026, 2:20 p.m.
PD Predicate disambiguation batch_69e514c9c00481909b76bda67957e58b completed April 19, 2026, 5:45 p.m.
Created at: April 10, 2026, 1:41 p.m.