Triple

T727471
Position Surface form Disambiguated ID Type / Status
Subject Grand Duke of Luxembourg E14758 entity
Predicate residesIn P75 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: [Grand Duke of Luxembourg, residesIn, Luxembourg City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxembourg City
Context triple: [Grand Duke of Luxembourg, residesIn, 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. Luxembourg
    Luxembourg is a small, landlocked Western European country known for its prosperous economy, status as a major financial center, and role as a founding member of the European Union.
  • E. Strasbourg
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c011948190b2cfccd8fe722742 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c70997d081908a10e1aa4e936d32 completed March 4, 2026, 5:45 a.m.
Created at: March 1, 2026, 7:37 p.m.