Triple

T10573289
Position Surface form Disambiguated ID Type / Status
Subject US 23 E249546 entity
Predicate overlapsWith P1867 FINISHED
Object US 17 E706072 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 17 | Statement: [US 23, overlapsWith, US 17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US 17
Context triple: [US 23, overlapsWith, US 17]
  • A. US 17 chosen
    US 17 is a major north–south U.S. highway running along the southeastern United States, connecting Florida with several Atlantic coastal states.
  • B. US 15
    US 15 is a major north–south U.S. Highway running from New York to South Carolina, serving as an important regional route through several Mid-Atlantic and Southern states.
  • C. US 27
    US 27 is a major north–south United States highway running from southern Florida through several states to the Midwest.
  • D. US 70
    US 70 is a major east–west United States highway that runs from eastern North Carolina to eastern Arizona, connecting numerous cities and regions across the southern part of the country.
  • E. US 71
    US 71 is a major north–south U.S. Highway running through the central United States, notably traversing states such as Louisiana, Arkansas, Missouri, and Iowa.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274929cc81909a79d5e2049f7389 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b5d89748190bb398943e4a16e9b completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.