Triple

T12761597
Position Surface form Disambiguated ID Type / Status
Subject Operation Blockbuster E305008 entity
Predicate location P40 FINISHED
Object Reichswald Forest area E306023 NE 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: Reichswald Forest area | Statement: [Operation Blockbuster, location, Reichswald Forest area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reichswald Forest area
Context triple: [Operation Blockbuster, location, Reichswald Forest area]
  • A. Reichswald Forest chosen
    Reichswald Forest is a large wooded area in western Germany near the Dutch border, historically notable as the site of intense fighting during World War II.
  • B. Arnsberg Forest
    Arnsberg Forest is a large wooded region in North Rhine-Westphalia, Germany, known for its extensive hiking trails, natural landscapes, and protected nature reserves.
  • C. Göttingen Forest
    Göttingen Forest is a wooded hill range in Lower Saxony, Germany, known for its extensive hiking trails and proximity to the university city of Göttingen.
  • D. Wermsdorf Forest
    Wermsdorf Forest is a large woodland area in Saxony, Germany, known for its historic hunting grounds and scenic landscapes.
  • E. Schönbuch forest
    Schönbuch forest is a large protected woodland and nature park in Baden-Württemberg, Germany, known for its diverse wildlife, hiking trails, and recreational areas near the city of Stuttgart.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f298f881908ad77f2d0ab588a8 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.