Triple

T14029987
Position Surface form Disambiguated ID Type / Status
Subject Grassy Park E337560 entity
Predicate hasPublicTransport P1288 FINISHED
Object Golden Arrow buses E1074884 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: Golden Arrow buses | Statement: [Grassy Park, hasPublicTransport, Golden Arrow buses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Arrow buses
Context triple: [Grassy Park, hasPublicTransport, Golden Arrow buses]
  • A. Golden Arrow Bus Services chosen
    Golden Arrow Bus Services is a major public bus operator in Cape Town, South Africa, providing commuter transport across the city and its surrounding suburbs.
  • 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. Movia buses
    Movia buses are the primary public bus network in the Copenhagen region, providing extensive urban and regional transport services that integrate with the city’s metro and rail systems.
  • D. SL buses
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • E. Washington Flyer buses
    Washington Flyer buses are dedicated coach services that provide direct ground transportation between Washington Dulles International Airport and key locations in the Washington, D.C. metropolitan 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa9f8248190930954d609dee5f1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd097814081909835aeed46aa4a59 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.