Triple

T17304375
Position Surface form Disambiguated ID Type / Status
Subject US 66 E420122 entity
Predicate shortName P43 FINISHED
Object US 66 E420122 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: US 66 | Statement: [US 66, shortName, US 66]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US 66
Context triple: [US 66, shortName, US 66]
  • A. US 66 chosen
    US 66 is a historic U.S. highway, famously known as "Route 66," that once ran from Chicago to Los Angeles and became an iconic symbol of American road travel and culture.
  • B. US 64
    US 64 is a major east–west United States highway that spans multiple states, including North Carolina, serving as an important regional transportation corridor.
  • C. US 62
    US 62 is a major east–west United States highway that stretches from the Mexican border in El Paso, Texas, to Niagara Falls, New York, passing through several central states.
  • D. US 61
    US 61 is a major north–south United States highway running along the Mississippi River corridor, linking New Orleans to the Upper Midwest.
  • E. U.S. Route 601
    U.S. Route 601 is a north–south United States highway running through the Carolinas, connecting several small cities and rural areas between South Carolina and North Carolina.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438fe1d408190a429d1dba50d0c58 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180de8340819081eae1104d705de0 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.