Triple

T15965760
Position Surface form Disambiguated ID Type / Status
Subject Roanoke Shops E387185 entity
Predicate cityServed P82 FINISHED
Object Roanoke E189942 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: Roanoke | Statement: [Roanoke Shops, cityServed, Roanoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roanoke
Context triple: [Roanoke Shops, cityServed, Roanoke]
  • A. Roanoke
    Roanoke is a small city in eastern Alabama known for its rural character and location near the Georgia state line.
  • B. Roanoke
    Roanoke is a city in Denton County, Texas, known for its family-friendly attractions, including the Hawaiian Falls water park and a vibrant dining scene.
  • C. Roanoke, Virginia chosen
    Roanoke, Virginia is an independent city in western Virginia known as the commercial and cultural hub of the Roanoke Valley in the Blue Ridge Mountains.
  • D. Roanoke metropolitan area
    The Roanoke metropolitan area is a regional urban and economic hub in western Virginia centered on the city of Roanoke and its surrounding communities.
  • E. Jamestown, North Carolina
    Jamestown, North Carolina is a small suburban town in Guilford County situated between the larger cities of High Point and Greensboro.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157258b3c8190a72c868bd055ed94 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbc6f4c08190b816bf6d92114ad2 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:54 a.m.