Triple

T17686786
Position Surface form Disambiguated ID Type / Status
Subject Slotssøen E440912 entity
Predicate adjacentTo P224 FINISHED
Object Hillerød town centre 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: Hillerød town centre | Statement: [Slotssøen, adjacentTo, Hillerød town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillerød town centre
Context triple: [Slotssøen, adjacentTo, Hillerød town centre]
  • A. Hillerød Municipality
    Hillerød Municipality is a local government area in northeastern Denmark known for the town of Hillerød and the historic Frederiksborg Castle.
  • B. Hillerød chosen
    Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
  • C. Hillerød Town Hall
    Hillerød Town Hall is the main municipal building and administrative center of the town of Hillerød in Denmark.
  • D. Lille Frederikskob
    Lille Frederikskob is a small Danish island that forms part of the Hirsholmene archipelago in the Kattegat.
  • E. Høje Taastrup
    Høje Taastrup is a major suburban railway and transport hub in the western part of the Copenhagen metropolitan area.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470488c4081909b747313ef97b69c completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.