Triple

T15748768
Position Surface form Disambiguated ID Type / Status
Subject COASTER E381790 entity
Predicate connectsWith P37 FINISHED
Object SPRINTER E381791 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: SPRINTER | Statement: [COASTER, connectsWith, SPRINTER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPRINTER
Context triple: [COASTER, connectsWith, SPRINTER]
  • A. SPRINTER chosen
    SPRINTER is a light rail service in northern San Diego County, California, providing east–west transit between Oceanside and Escondido.
  • B. Sprinter
    Sprinter is a family of British diesel multiple-unit passenger trains widely used on regional and local services across the UK rail network.
  • C. StreetRunner
    StreetRunner is an American hip-hop record producer known for his work with major artists such as Lil Wayne, including contributions to the album "I Am Not a Human Being."
  • D. Sprint-Jeløy
    Sprint-Jeløy is a Norwegian sports club based in Moss, known primarily for its football activities.
  • E. NS Sprinter
    NS Sprinter is a type of Dutch commuter train service operated by Nederlandse Spoorwegen, providing frequent local connections between nearby railway stations.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830b85408190b9ae4d6752524b99 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.