Triple

T2195345
Position Surface form Disambiguated ID Type / Status
Subject 1952 Summer Olympics E49958 entity
Predicate biddingCity P7900 FINISHED
Object Luxembourg City E70084 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: Luxembourg City | Statement: [1952 Summer Olympics, biddingCity, Luxembourg City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxembourg City
Context triple: [1952 Summer Olympics, biddingCity, Luxembourg City]
  • A. Luxembourg City, Luxembourg chosen
    Luxembourg City is the capital and largest city of Luxembourg, known for its fortified medieval old town perched on dramatic cliffs and its role as a major European administrative and financial center.
  • B. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • C. Esch-sur-Alzette
    Esch-sur-Alzette is Luxembourg’s second-largest city, known as an important industrial and cultural center in the country’s south near the French border.
  • D. Betzdorf, Luxembourg
    Betzdorf, Luxembourg is a small commune in eastern Luxembourg notable as the birthplace of Henri, the current Grand Duke of Luxembourg.
  • E. Diekirch
    Diekirch is a town in northern Luxembourg known for its role in World War II, particularly during the country's liberation, and for its national military museum.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf764e348190896af2aeb5520038 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db5c364819099e3db36c312437a completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.