Triple

T16911047
Position Surface form Disambiguated ID Type / Status
Subject Tuttle Creek Lake E410193 entity
Predicate floodControlFor P42410 FINISHED
Object Manhattan, Kansas E114108 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: Manhattan, Kansas | Statement: [Tuttle Creek Lake, floodControlFor, Manhattan, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manhattan, Kansas
Context triple: [Tuttle Creek Lake, floodControlFor, Manhattan, Kansas]
  • A. Manhattan, Kansas chosen
    Manhattan, Kansas is a city in northeastern Kansas known as the home of Kansas State University and a regional center for education and agriculture.
  • B. Kansas City, Kansas
    Kansas City, Kansas is a city in northeastern Kansas that forms part of the Kansas City metropolitan area across the state line from Kansas City, Missouri.
  • C. Columbus, Kansas
    Columbus, Kansas is a small city in southeastern Kansas known historically as a regional center for agriculture and mining.
  • D. Madison, Kansas
    Madison, Kansas is a small rural city in Greenwood County known for its agricultural surroundings and location in east-central Kansas.
  • E. Garden City, Kansas
    Garden City, Kansas is a small city in southwestern Kansas known as a regional agricultural and commercial hub on the High Plains.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3ca0c481909ff361ccf4a922e3 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170dd38708190b17cee0ab6cee6eb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:30 a.m.