Triple

T1982923
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Bastogne E43069 entity
Predicate capital P234 FINISHED
Object Bastogne E6658 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: Bastogne | Statement: [Arrondissement of Bastogne, capital, Bastogne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bastogne
Context triple: [Arrondissement of Bastogne, capital, Bastogne]
  • A. Bastogne chosen
    Bastogne is a town in southeastern Belgium best known for its strategic role and fierce fighting during World War II’s Battle of the Bulge.
  • B. St. Vith
    St. Vith is a town in eastern Belgium that became a strategically important battleground during World War II, particularly noted for its role in the Battle of the Bulge.
  • C. Bastogne Barracks
    Bastogne Barracks is a historic World War II military site in Bastogne, Belgium, known for its role as the headquarters of the U.S. 101st Airborne Division during the Battle of the Bulge and now preserved as a museum.
  • D. Hürtgen Forest
    Hürtgen Forest is a heavily wooded area in western Germany best known as the site of a prolonged and costly World War II battle between American and German forces.
  • E. Place Foch
    Place Foch is a central square in Ajaccio, Corsica, known for its lively cafés, palm trees, and statue of Napoleon Bonaparte.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb81f5dac8190b5223fe2d59ee0d4 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032e1f648190acb502b9f82fe8c2 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:37 p.m.