Triple

T15082282
Position Surface form Disambiguated ID Type / Status
Subject Hellerup E360178 entity
Predicate hasRailwayStation P918 FINISHED
Object Hellerup Station E1148218 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: Hellerup Station | Statement: [Hellerup, hasRailwayStation, Hellerup Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellerup Station
Context triple: [Hellerup, hasRailwayStation, Hellerup Station]
  • A. Hellerup Station chosen
    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.
  • 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. Frederiksberg Station
    Frederiksberg Station is a key Copenhagen Metro and S-train interchange located in the Frederiksberg district of Denmark’s capital.
  • D. Tårnby station
    Tårnby station is a railway station in Tårnby, Denmark, serving as a stop on the Copenhagen-area commuter and regional rail network.
  • E. Amagerbro station
    Amagerbro station is an underground Copenhagen Metro station on the island of Amager serving the Amagerbro district with rapid transit connections to the city center and surrounding areas.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3647bda881909a83311926096a29 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:03 a.m.