Triple

T501761
Position Surface form Disambiguated ID Type / Status
Subject Izmir E10416 entity
Predicate hasPublicTransportSystem P474 FINISHED
Object Tram Izmir
Tram Izmir is a modern light rail tram network serving the Turkish city of İzmir as part of its urban public transportation system.
E62990 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: Tram Izmir | Statement: [Izmir, hasPublicTransportSystem, Tram Izmir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tram Izmir
Context triple: [Izmir, hasPublicTransportSystem, Tram Izmir]
  • A. Izmir Metro
    Izmir Metro is a rapid transit rail system serving the city of Izmir, Turkey, providing high-capacity urban transportation across key districts.
  • B. Trolebús
    Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
  • C. Lisbon Tramway
    The Lisbon Tramway is a historic network of yellow streetcars that navigate Lisbon’s steep, narrow streets and serve as both public transport and a popular tourist attraction.
  • D. M5000 tram
    The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
  • E. İZBAN commuter rail
    İZBAN commuter rail is a major suburban rail system serving the İzmir metropolitan area in Turkey, providing high-capacity, rapid transit along the city’s north–south axis.
  • 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: Tram Izmir
Triple: [Izmir, hasPublicTransportSystem, Tram Izmir]
Generated description
Tram Izmir is a modern light rail tram network serving the Turkish city of İzmir as part of its urban public transportation system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tram Izmir
Target entity description: Tram Izmir is a modern light rail tram network serving the Turkish city of İzmir as part of its urban public transportation system.
  • A. Izmir Metro
    Izmir Metro is a rapid transit rail system serving the city of Izmir, Turkey, providing high-capacity urban transportation across key districts.
  • B. Trolebús
    Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
  • C. Lisbon Tramway
    The Lisbon Tramway is a historic network of yellow streetcars that navigate Lisbon’s steep, narrow streets and serve as both public transport and a popular tourist attraction.
  • D. M5000 tram
    The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
  • E. İZBAN commuter rail
    İZBAN commuter rail is a major suburban rail system serving the İzmir metropolitan area in Turkey, providing high-capacity, rapid transit along the city’s north–south axis.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f131e2148190afd43402f505c73e completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48a79ef808190a9dc34b58e16a160 completed March 1, 2026, 6:50 p.m.
NEDg Description generation batch_69a48cb1b92881909b05794b7f792cad completed March 1, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69a48d3ce3a48190a343496e874c21b6 completed March 1, 2026, 7:02 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.