Triple

T16977103
Position Surface form Disambiguated ID Type / Status
Subject South Hampton Roads E411841 entity
Predicate hasTransportationInfrastructure P385 FINISHED
Object Midtown Tunnel E103779 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: Midtown Tunnel | Statement: [South Hampton Roads, hasTransportationInfrastructure, Midtown Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midtown Tunnel
Context triple: [South Hampton Roads, hasTransportationInfrastructure, Midtown Tunnel]
  • A. Midtown Tunnel chosen
    The Midtown Tunnel is a vehicular tunnel in the Hampton Roads region that carries traffic beneath the Elizabeth River between Norfolk and Portsmouth, Virginia.
  • B. 63rd Street Tunnel
    The 63rd Street Tunnel is a New York City subway tunnel under the East River that carries trains between Manhattan and Queens.
  • 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. Howard Street Tunnel
    The Howard Street Tunnel is a historic railroad tunnel in Baltimore, Maryland, that carries freight trains beneath the city’s downtown.
  • E. 2nd Street Tunnel
    The 2nd Street Tunnel is a frequently filmed, neon-lit vehicular tunnel in downtown Los Angeles, iconic for its distinctive white-tiled interior and use in movies, commercials, and music videos.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d184f2cc81908ac629c8f87696f8 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.