Triple

T14122749
Position Surface form Disambiguated ID Type / Status
Subject Amager Strandpark E339942 entity
Predicate nearby P350 FINISHED
Object Øresund metro station E1105614 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: Øresund metro station | Statement: [Amager Strandpark, nearby, Øresund metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Øresund metro station
Context triple: [Amager Strandpark, nearby, Øresund metro station]
  • A. Øresund station chosen
    Øresund station is a Copenhagen Metro station on the M2 line serving the Amager district near the Øresund coast.
  • B. Ørestad station
    Ørestad station is a major transport hub in Copenhagen’s Ørestad district, combining a Copenhagen Metro stop with regional and local train services.
  • C. Amager Strand station
    Amager Strand station is a Copenhagen Metro station on the island of Amager serving the coastal Amager Strandpark beach and surrounding residential areas.
  • D. Christianshavn station
    Christianshavn station is an underground Copenhagen Metro station serving the historic Christianshavn district on multiple metro lines.
  • E. Hellerup Station
    Hellerup Station is a major railway and S-train hub in the northern part of Copenhagen, Denmark, serving as an important interchange for regional and commuter rail services.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6095548881908a9e66adccca92d2 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3017808190a44087056ba6a472 completed May 9, 2026, 10:23 a.m.
Created at: April 9, 2026, 10:22 p.m.