Triple

T14056841
Position Surface form Disambiguated ID Type / Status
Subject M4 E338240 entity
Predicate operator P179 FINISHED
Object Metro Service A/S E338236 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: Metro Service A/S | Statement: [M4, operator, Metro Service A/S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Service A/S
Context triple: [M4, operator, Metro Service A/S]
  • A. Metro Service A/S chosen
    Metro Service A/S is the company responsible for operating and managing the Copenhagen Metro system in Denmark.
  • B. Metroselskabet I/S
    Metroselskabet I/S is the publicly owned company responsible for developing, expanding, and overseeing the Copenhagen Metro system in Denmark.
  • C. Ruter
    Ruter is the public transport authority responsible for planning, coordinating, and managing bus, tram, metro, and some ferry services in Oslo and parts of Viken, Norway.
  • D. Danske Statsbaner
    Danske Statsbaner is Denmark’s largest state-owned railway company, responsible for most passenger train services across the country.
  • E. Danish Transport Authority
    The Danish Transport Authority is the national government agency responsible for regulating and overseeing transport safety, infrastructure, and operations across Denmark’s transport sectors.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1930da6481908d17adc6f7bbedd4 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:20 p.m.