Triple

T8597856
Position Surface form Disambiguated ID Type / Status
Subject Beykoz E203594 entity
Predicate transport P230 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: [Beykoz, transport, IETT bus lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IETT bus lines
Context triple: [Beykoz, transport, 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. BREEZE bus network
    The BREEZE bus network is a public transit system in northern San Diego County that provides local and regional bus services, integrating with rail lines like the SPRINTER to facilitate multimodal transportation.
  • D. 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.
  • E. 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.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8dd86d08190a7f8e674e16dd8b6 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.