Triple

T16131962
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth River Crossings E391419 entity
Predicate maintains P1580 FINISHED
Object Downtown Tunnel E88718 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: Downtown Tunnel | Statement: [Elizabeth River Crossings, maintains, Downtown Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Tunnel
Context triple: [Elizabeth River Crossings, maintains, Downtown Tunnel]
  • A. Downtown Tunnel chosen
    The Downtown Tunnel is a major underwater vehicular tunnel in the Hampton Roads region that carries traffic beneath the Elizabeth River between Norfolk and Portsmouth, Virginia.
  • B. 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.
  • C. Howard Street Tunnel
    The Howard Street Tunnel is a historic railroad tunnel in Baltimore, Maryland, that carries freight trains beneath the city’s downtown.
  • D. Carmel Tunnels
    The Carmel Tunnels are a system of toll road tunnels in Haifa, Israel, that provide a fast east–west route beneath the Carmel mountain range to ease urban traffic congestion.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02172c8190978f7951ccd80928 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef0f51c8190bc039150af8ebf98 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:01 a.m.