Triple

T2233297
Position Surface form Disambiguated ID Type / Status
Subject Edinburgh Trams E49220 entity
Predicate depot P14646 FINISHED
Object Gogar depot
Gogar depot is the main maintenance and operations facility for the Edinburgh Trams light rail system in Edinburgh, Scotland.
 E247342 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: Gogar depot | Statement: [Edinburgh Trams, depot, Gogar depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gogar depot
Context triple: [Edinburgh Trams, depot, Gogar depot]
  • A. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • B. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • C. Bachet depot
    Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
  • D. Nopo Depot
    Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
  • E. 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.
  • 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: Gogar depot
Triple: [Edinburgh Trams, depot, Gogar depot]
Generated description
Gogar depot is the main maintenance and operations facility for the Edinburgh Trams light rail system in Edinburgh, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gogar depot
Target entity description: Gogar depot is the main maintenance and operations facility for the Edinburgh Trams light rail system in Edinburgh, Scotland.
  • A. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • B. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • C. Bachet depot
    Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
  • D. Nopo Depot
    Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
  • E. 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.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0913f1c8190ac9cfeb0f1c84a76 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b020e308190a6d5a50a8e808aba completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b73bb688190bcade17d991c4862 completed March 9, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69ae6be4431c81909c9b4ad82226215d completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:47 p.m.