Triple

T14379155
Position Surface form Disambiguated ID Type / Status
Subject Pennington County E356554 entity
Predicate hasSettlement P1068 FINISHED
Object Hill City E558440 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: Hill City | Statement: [Pennington County, hasSettlement, Hill City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hill City
Context triple: [Pennington County, hasSettlement, Hill City]
  • A. Hill City chosen
    Hill City is a small tourist-oriented town in South Dakota’s Black Hills, known as a gateway to nearby attractions like Mount Rushmore and Custer State Park.
  • B. The Hill City
    The Hill City is a nickname for Summit, New Jersey, a suburban community known for its elevated terrain and affluent residential character.
  • C. The Hill City
    The Hill City is a nickname for Lynchburg, Virginia, a historic city known for its hilly terrain and prominent role in the American Civil War and regional industry.
  • D. Grant City
    Grant City is a residential neighborhood on Staten Island, New York City, known for its suburban character and convenient access to Manhattan via the Staten Island Railway.
  • E. Hadleyville
    Hadleyville is the fictional small Western town in the classic 1952 film "High Noon," where the story’s tense showdown unfolds.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c590660819090652e75418f2747 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.