Triple

T8210928
Position Surface form Disambiguated ID Type / Status
Subject Cars Land E191813 entity
Predicate theme P261 FINISHED
Object Route 66 E89106 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: Route 66 | Statement: [Cars Land, theme, Route 66]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 66
Context triple: [Cars Land, theme, Route 66]
  • A. Route 66
    Route 66 is a casual clothing and footwear brand commonly sold in discount department stores such as Kmart.
  • B. National Highway 66
    National Highway 66 is a major Indian coastal highway running along the western seaboard, connecting key cities and towns in states like Maharashtra, Goa, Karnataka, and Kerala.
  • C. U.S. Route 66 chosen
    U.S. Route 66 is a historic American highway, often called the "Mother Road," that became an iconic symbol of cross-country travel and mid-20th-century car culture.
  • D. State Highway 66
    State Highway 66 is a Colorado state highway that runs east–west across the northern Front Range, connecting communities such as Longmont to major routes like Interstate 25 and U.S. Highway 287.
  • E. Kansas Highway 66
    Kansas Highway 66 is a short state highway in southeastern Kansas that follows a historic segment of the former U.S. Route 66 through Cherokee County.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76dec42c819090252fe186a68d34 completed March 31, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccede2e4f481908edca856038772d3 completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:44 p.m.