Triple

T12845813
Position Surface form Disambiguated ID Type / Status
Subject Wakarusa River E307171 entity
Predicate hasNearbyCity P350 FINISHED
Object Lawrence, Kansas E107652 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: Lawrence, Kansas | Statement: [Wakarusa River, hasNearbyCity, Lawrence, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence, Kansas
Context triple: [Wakarusa River, hasNearbyCity, Lawrence, Kansas]
  • A. Lawrence, Kansas chosen
    Lawrence, Kansas is a vibrant college town in northeastern Kansas known for the University of Kansas, its historic downtown, and a strong arts and music scene.
  • B. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • C. Wichita, Kansas
    Wichita, Kansas is the largest city in the state of Kansas, known as a major center for the U.S. aircraft industry and situated in south-central Kansas along the Arkansas River.
  • D. Lakin, Kansas
    Lakin, Kansas is a small city in southwestern Kansas that serves as the administrative and economic center of Kearny County.
  • E. Topeka, Kansas
    Topeka, Kansas is the capital city of the U.S. state of Kansas, historically significant as the community at the center of the landmark school desegregation case Brown v. Board of Education.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d12cd88190b6e205ad98296ed9 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 5:36 p.m.