Triple

T19472669
Position Surface form Disambiguated ID Type / Status
Subject SR 32 E487163 entity
Predicate routeType P1019 FINISHED
Object State Route NE NERFINISHED

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: State Route | Statement: [SR 32, routeType, State Route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State Route
Context triple: [SR 32, routeType, State Route]
  • A. State Route chosen
    A State Route is a numbered highway maintained by an individual U.S. state that forms part of its internal road network, distinct from federal and interstate highways.
  • B. State Road
    State Road is a type of numbered highway maintained by a U.S. state, typically forming part of its primary road network.
  • C. National Route
    A National Route is a major highway in South Korea that forms part of the country’s primary, government-designated road network connecting key cities and regions.
  • D. State Route 101
    State Route 101 is a major north–south highway in Washington State that forms part of the longer U.S. Route 101 corridor along the Pacific coast.
  • E. State Route 1
    State Route 1 is a scenic California coastal highway renowned for its dramatic ocean views and access to notable destinations along the Pacific coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633ea604c8190a2feacb709b7ca27 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.