Triple

T22950077
Position Surface form Disambiguated ID Type / Status
Subject Alzette E569988 entity
Predicate flowsThrough P225 FINISHED
Object Hesperange NE NERFINISHED

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: Hesperange | Statement: [Alzette, flowsThrough, Hesperange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hesperange
Context triple: [Alzette, flowsThrough, Hesperange]
  • A. Hesperange chosen
    Hesperange is a commune in southern Luxembourg, located just south of the capital city and known for its residential character and historic castle ruins.
  • B. Bourglinster
    Bourglinster is a village in central Luxembourg known for its historic castle and picturesque rural setting.
  • C. Carlepont
    Carlepont is a small commune in the Oise department of northern France, situated within the administrative area of Compiègne.
  • D. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • E. Jarnac
    Jarnac is a small town in southwestern France, known for its location on the Charente River and as the birthplace of former French president François Mitterrand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a085188190b06ffa227087302d completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.