Triple

T1475403
Position Surface form Disambiguated ID Type / Status
Subject European Parliament E30828 entity
Predicate secretariatLocation P62 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: [European Parliament, secretariatLocation, Luxembourg City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxembourg City
Context triple: [European Parliament, secretariatLocation, 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. Liège
    Liège is a major city in eastern Belgium known for its industrial heritage, vibrant cultural scene, and position along the Meuse River.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca21f288190b5f6f9a5895cdcf0 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:11 p.m.