Triple

T15757998
Position Surface form Disambiguated ID Type / Status
Subject Mönchengladbach E382016 entity
Predicate alternativeName P39 FINISHED
Object Moenchengladbach E382016 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: Moenchengladbach | Statement: [Mönchengladbach, alternativeName, Moenchengladbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moenchengladbach
Context triple: [Mönchengladbach, alternativeName, Moenchengladbach]
  • A. Mönchengladbach chosen
    Mönchengladbach is a city in western Germany known for its textile industry heritage and its football club Borussia Mönchengladbach.
  • B. Bergisch Gladbach
    Bergisch Gladbach is a city in North Rhine-Westphalia, western Germany, known for its paper industry, proximity to Cologne, and surrounding Bergisches Land countryside.
  • C. Dortmund
    Dortmund is a major city in western Germany known for its rich football culture, industrial heritage, and home club Borussia Dortmund.
  • D. VfL Bochum
    VfL Bochum is a German professional football club based in Bochum, North Rhine-Westphalia, that competes in the Bundesliga.
  • E. Borussia Mönchengladbach
    Borussia Mönchengladbach is a professional German football club based in Mönchengladbach, North Rhine-Westphalia, known for its successful history in the Bundesliga and European competitions.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe66d78c81908308fc16c8d4e19c completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:47 a.m.