Triple

T14193062
Position Surface form Disambiguated ID Type / Status
Subject Sturge E351761 entity
Predicate hasVariant P455 FINISHED
Object Sturgis E789739 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: Sturgis | Statement: [Sturge, hasVariant, Sturgis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sturgis
Context triple: [Sturge, hasVariant, Sturgis]
  • A. Sturgis, South Dakota chosen
    Sturgis, South Dakota is a small city in the Black Hills best known for hosting one of the world’s largest annual motorcycle rallies.
  • B. Rapid City
    Rapid City is a city in western South Dakota known as a gateway to the Black Hills and nearby Mount Rushmore.
  • C. Sioux Falls, South Dakota
    Sioux Falls, South Dakota is the largest city in the state, known for its namesake waterfalls on the Big Sioux River and its role as a regional economic and cultural hub.
  • D. Missoula
    Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
  • E. Miles City, Montana
    Miles City, Montana is a small historic city in southeastern Montana known as a regional ranching and agricultural center near the confluence of the Tongue and Yellowstone Rivers.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.