Triple

T14818734
Position Surface form Disambiguated ID Type / Status
Subject Ørestad E348386 entity
Predicate hasPart P35 FINISHED
Object Ørestad Syd E348386 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: Ørestad Syd | Statement: [Ørestad, hasPart, Ørestad Syd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ørestad Syd
Context triple: [Ørestad, hasPart, Ørestad Syd]
  • A. Ørestad chosen
    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.
  • B. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • C. Hvidovre
    Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
  • D. Høje Taastrup
    Høje Taastrup is a major suburban railway and transport hub in the western part of the Copenhagen metropolitan area.
  • E. Ennore
    Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff755bbe608190a9a565218eee7005 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 1:50 a.m.