Triple

T5442012
Position Surface form Disambiguated ID Type / Status
Subject Roskilde Cathedral E122156 entity
Predicate locatedIn P40 FINISHED
Object Roskilde E268221 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: Roskilde | Statement: [Roskilde Cathedral, locatedIn, Roskilde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roskilde
Context triple: [Roskilde Cathedral, locatedIn, Roskilde]
  • A. Roskilde chosen
    Roskilde is a historic Danish city on the island of Zealand, known for its medieval cathedral and the annual Roskilde music festival.
  • B. Thisted
    Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
  • C. Haderslev
    Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative hub.
  • D. Helsingør
    Helsingør is a historic coastal city in eastern Denmark, best known internationally as the setting of Shakespeare’s Hamlet (as Elsinore) and for its prominent Kronborg Castle overlooking the Øresund Strait.
  • E. Nyborg
    Nyborg is a historic coastal town and former royal seat in central Denmark, located on the island of Funen.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91c131648190b5a7f49efacc874a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf412daa408190a46926f28339aeac completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.