Triple

T15722656
Position Surface form Disambiguated ID Type / Status
Subject Mukilteo E381138 entity
Predicate servedBy P82 FINISHED
Object Community Transit E147330 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: Community Transit | Statement: [Mukilteo, servedBy, Community Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Community Transit
Context triple: [Mukilteo, servedBy, Community Transit]
  • A. Community Transit chosen
    Community Transit is a public transportation agency serving Snohomish County, Washington, providing local and commuter bus service as well as other transit options in the Puget Sound region.
  • B. Community Transit bus system
    The Community Transit bus system is a public transportation network serving Snohomish County, Washington, providing local and commuter bus services that connect with regional rail and other transit agencies.
  • C. Community Connector bus service
    The Community Connector bus service is a public transit system serving Orono and surrounding communities in the Bangor, Maine region.
  • D. Connect Transit
    Connect Transit is the primary public bus system serving the Bloomington–Normal metropolitan area in Illinois.
  • E. Transit
    "Transit" is a 1944 novel by German writer Anna Seghers that portrays refugees, identity, and displacement in Marseille during World War II.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:45 a.m.