Triple

T14859547
Position Surface form Disambiguated ID Type / Status
Subject Limpertsberg E349452 entity
Predicate adjacentTo P224 FINISHED
Object Belair E349451 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: Belair | Statement: [Limpertsberg, adjacentTo, Belair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belair
Context triple: [Limpertsberg, adjacentTo, Belair]
  • A. Belair chosen
    Belair is a primarily residential district of Luxembourg City known for its quiet streets, schools, and proximity to the city center.
  • B. Belair
    Belair was a German leisure airline that operated charter and scheduled flights, primarily serving holiday destinations across Europe and North Africa.
  • C. Belair
    Belair is a small village located in Saint George Parish on the Caribbean island nation of Saint Vincent and the Grenadines.
  • D. Meadowbank
    Meadowbank is a district in the east of Edinburgh, Scotland, known for its residential character and proximity to major sports and recreational facilities.
  • E. Meadowbank
    Meadowbank is a riverside suburb in Sydney, Australia, known for its residential developments, transport links, and parks along the Parramatta 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.