Triple

T3815504
Position Surface form Disambiguated ID Type / Status
Subject Frederiksborg Castle E84242 entity
Predicate near P350 FINISHED
Object Hillerød town centre E95304 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: Hillerød town centre | Statement: [Frederiksborg Castle, near, Hillerød town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillerød town centre
Context triple: [Frederiksborg Castle, near, Hillerød town centre]
  • A. 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.
  • B. Høje Taastrup
    Høje Taastrup is a major suburban railway and transport hub in the western part of the Copenhagen metropolitan area.
  • C. Ørestad
    Ørestad is a modern, rapidly developing district on the island of Amager in Copenhagen, known for its contemporary architecture, mixed-use urban planning, and proximity to both the city center and Copenhagen Airport.
  • D. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • E. Frederiksberg
    Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8e05f448190ba15e9ced97bd9fc completed March 9, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb40b0dc8190845bd62774f4a55b completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.