Triple

T4340780
Position Surface form Disambiguated ID Type / Status
Subject Norrmalm E97572 entity
Predicate hasBusTerminal P5891 FINISHED
Object Cityterminalen E432134 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: Cityterminalen | Statement: [Norrmalm, hasBusTerminal, Cityterminalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cityterminalen
Context triple: [Norrmalm, hasBusTerminal, Cityterminalen]
  • A. Cityterminalen chosen
    Cityterminalen is Stockholm’s main long-distance bus terminal, serving as a central hub for regional and international coach connections in the Norrmalm district.
  • B. Flughafen
    Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
  • C. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
  • D. Central Terminal
    Central Terminal is one of the main passenger terminals at Miami International Airport, serving as a hub for multiple airlines and a variety of domestic and international flights.
  • E. Royal Terminal
    Royal Terminal is an exclusive, high-security facility at King Khalid International Airport in Riyadh used for the arrival and departure of the Saudi royal family and distinguished state guests.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9fd4988190afa9e04b029cd573 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:14 p.m.