Triple

T21784903
Position Surface form Disambiguated ID Type / Status
Subject Leopoldsburg E537809 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Peer 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: Peer | Statement: [Leopoldsburg, hasNeighbouringMunicipality, Peer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peer
Context triple: [Leopoldsburg, hasNeighbouringMunicipality, Peer]
  • A. Peer chosen
    Peer is a municipality in the Belgian province of Limburg, known in part for hosting the Kleine-Brogel Air Base.
  • B. Peer
    Peer is a surname most notably associated with Ralph Peer, an influential American talent scout and record producer who helped pioneer the country music industry.
  • C. Friend
    Friend is a given name that can be used as a first name, as in the case of Friend Richardson.
  • D. FREND
    FREND is a neutron detector instrument aboard the ExoMars Trace Gas Orbiter designed to map subsurface hydrogen and water ice on Mars.
  • E. BFF
    BFF is the National Rail station code for Blaenau Ffestiniog railway station in Gwynedd, Wales.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.