Triple

T7351455
Position Surface form Disambiguated ID Type / Status
Subject Sancaktepe E169511 entity
Predicate hasPublicTransport P1288 FINISHED
Object IETT bus lines E167313 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: IETT bus lines | Statement: [Sancaktepe, hasPublicTransport, IETT bus lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IETT bus lines
Context triple: [Sancaktepe, hasPublicTransport, IETT bus lines]
  • A. İETT buses chosen
    İETT buses are Istanbul’s municipal public buses, operating an extensive network of urban and inter-district routes across the city.
  • B. TEC bus lines
    TEC bus lines are a regional public bus network in Wallonia, Belgium, providing local and intercity transportation services.
  • C. Carris bus lines
    Carris bus lines are the public bus services operating in Lisbon, Portugal, connecting neighborhoods such as Graça with the rest of the city.
  • D. TMB bus network
    The TMB bus network is Barcelona’s primary system of urban bus routes operated by Transports Metropolitans de Barcelona, providing extensive public transport coverage across the city and surrounding areas.
  • E. R-net bus services
    R-net bus services are a high-quality, frequent regional public transport network operating buses across parts of the Netherlands, particularly in the Randstad area.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10a2e1c8190939b007fbf787a54 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa99a9148190b67e49c8c8674042 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.