Triple

T1709664
Position Surface form Disambiguated ID Type / Status
Subject Bay Bridge E36948 entity
Predicate hasComponent P35 FINISHED
Object Yerba Buena Tunnel E108102 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: Yerba Buena Tunnel | Statement: [Bay Bridge, hasComponent, Yerba Buena Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerba Buena Tunnel
Context triple: [Bay Bridge, hasComponent, Yerba Buena Tunnel]
  • A. Yerba Buena Tunnel chosen
    Yerba Buena Tunnel is a vehicular tunnel in the San Francisco Bay that carries the San Francisco–Oakland Bay Bridge through Yerba Buena Island, connecting its eastern and western spans.
  • B. Transbay Tube
    The Transbay Tube is an underwater rail tunnel beneath San Francisco Bay that carries BART trains between San Francisco and Oakland.
  • C. 53rd Street Tunnel
    The 53rd Street Tunnel is a New York City Subway tunnel under the East River that carries IND Queens Boulevard Line trains between Manhattan and Queens.
  • D. Midtown Tunnel
    The Midtown Tunnel is a vehicular tunnel in the Hampton Roads region that carries traffic beneath the Elizabeth River between Norfolk and Portsmouth, Virginia.
  • E. Center City Tunnel
    Center City Tunnel is an underground rail corridor in downtown Philadelphia that links several major commuter rail lines to create a unified through-running system.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa631329088190a2ce8f755bd69fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8adb1b588190b93f9d28d27cab72 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.