Triple

T1139694
Position Surface form Disambiguated ID Type / Status
Subject Oslo Tramway E23420 entity
Predicate depot P14646 FINISHED
Object Grefsen depot
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
 E129581 NE FINISHED

How this triple was built (4 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: Grefsen depot | Statement: [Oslo Tramway, depot, Grefsen depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grefsen depot
Context triple: [Oslo Tramway, depot, Grefsen depot]
  • A. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • B. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • C. Langwasser depot
    Langwasser depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • D. Ruckelshaus
    Ruckelshaus is the surname of William D. Ruckelshaus, a prominent American lawyer and public official best known as the first head of the U.S. Environmental Protection Agency and a key figure in the Watergate-era "Saturday Night Massacre."
  • E. Pontinha depot
    Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grefsen depot
Triple: [Oslo Tramway, depot, Grefsen depot]
Generated description
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grefsen depot
Target entity description: Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
  • A. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • B. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • C. Langwasser depot
    Langwasser depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • D. Ruckelshaus
    Ruckelshaus is the surname of William D. Ruckelshaus, a prominent American lawyer and public official best known as the first head of the U.S. Environmental Protection Agency and a key figure in the Watergate-era "Saturday Night Massacre."
  • E. Pontinha depot
    Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • F. None of above. chosen

Provenance (5 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc27c88881909c64ec30b7f66575 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a7599048190a46b0d560270ffa4 completed March 7, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ac5af24a948190a37c832508149a48 completed March 7, 2026, 5:05 p.m.
Created at: March 1, 2026, 7:44 p.m.