Triple

T18376310
Position Surface form Disambiguated ID Type / Status
Subject Hurtsboro, Alabama E446324 entity
Predicate hasName P744 FINISHED
Object Hurtsboro 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: Hurtsboro | Statement: [Hurtsboro, Alabama, hasName, Hurtsboro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurtsboro
Context triple: [Hurtsboro, Alabama, hasName, Hurtsboro]
  • A. Hurtsboro chosen
    Hurtsboro is a small town located in Russell County in eastern Alabama, known for its rural character and historic Southern charm.
  • B. Slatersville
    Slatersville is a historic village in North Smithfield, Rhode Island, known as one of America’s first planned mill villages centered around early textile manufacturing.
  • C. Harrisville
    Harrisville is a small village in Rhode Island known for its historic mill buildings and rural New England character.
  • D. Harrisville
    Harrisville is a small rural town in Queensland, Australia, known for its agricultural surroundings and location within the Scenic Rim region.
  • E. Harrisville
    Harrisville is a small city in northeastern Michigan that serves as the administrative and commercial hub of Alcona County.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51759353481908aa2de599fd2cf3b completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.