Triple

T16421998
Position Surface form Disambiguated ID Type / Status
Subject Schumanplein E398840 entity
Predicate servedBy P82 FINISHED
Object TEC bus lines E147587 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: TEC bus lines | Statement: [Schumanplein, servedBy, TEC bus lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEC bus lines
Context triple: [Schumanplein, servedBy, TEC bus lines]
  • A. TEC bus lines chosen
    TEC bus lines are a regional public bus network in Wallonia, Belgium, providing local and intercity transportation services.
  • B. 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.
  • C. ATAC bus lines
    ATAC bus lines are public bus services operated by Rome’s main transit agency, connecting neighborhoods like Tor di Quinto 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. 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.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f85a68819098742b324f6c6fd4 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c70aaa08190bf88210c0b491fc1 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.