Triple

T11856944
Position Surface form Disambiguated ID Type / Status
Subject Gahanna, Ohio E282062 entity
Predicate roadAccessVia P9041 FINISHED
Object Interstate 670 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: Interstate 670 | Statement: [Gahanna, Ohio, roadAccessVia, Interstate 670]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interstate 670
Context triple: [Gahanna, Ohio, roadAccessVia, Interstate 670]
  • A. Interstate 670 chosen
    Interstate 670 is an auxiliary Interstate Highway in Ohio that connects downtown Columbus to John Glenn Columbus International Airport and links Interstates 70 and 71.
  • B. Interstate 470
    Interstate 470 is an auxiliary Interstate Highway that serves as part of the beltway system around the Kansas City metropolitan area in Missouri.
  • C. Interstate 690
    Interstate 690 is an auxiliary Interstate Highway in central New York that serves as a major east–west route through the city of Syracuse.
  • D. Interstate 290
    Interstate 290 is a highway in western New York that serves as a key connector between Buffalo’s suburbs and major regional routes.
  • E. Interstate 290
    Interstate 290 is a highway in Massachusetts that serves as a key connector between Worcester and the surrounding regional interstate network.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
Created at: April 8, 2026, 9:43 p.m.