Triple

T3114354
Position Surface form Disambiguated ID Type / Status
Subject Interstate 73 E65024 entity
Predicate abbreviation P43 FINISHED
Object I-73 E65024 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: I-73 | Statement: [Interstate 73, abbreviation, I-73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I-73
Context triple: [Interstate 73, abbreviation, I-73]
  • A. Interstate 376
    Interstate 376 is a major highway in western Pennsylvania that connects the Pittsburgh metropolitan area with surrounding regions, including Beaver County and the Pennsylvania Turnpike.
  • B. Interstate 73 chosen
    Interstate 73 is a north–south U.S. Interstate Highway that runs through several states in the eastern United States, including North Carolina.
  • C. Interstate 82
    Interstate 82 is a major U.S. highway in the Pacific Northwest that connects central Washington to northeastern Oregon, facilitating regional travel and commerce.
  • D. Interstate 795
    Interstate 795 is a spur route of the Interstate Highway System in Florida that connects local traffic to a primary interstate corridor.
  • E. Interstate 72
    Interstate 72 is a U.S. highway running through parts of Illinois and Missouri, providing an important east–west transportation corridor in the Midwest.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d29964080881909fd07de536667fbd completed April 5, 2026, 5:18 p.m.
Created at: March 8, 2026, 3:04 p.m.