Triple

T10283051
Position Surface form Disambiguated ID Type / Status
Subject Big Blue River E241151 entity
Predicate passesNear P416 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: [Big Blue River, passesNear, Manhattan, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manhattan, Kansas
Context triple: [Big Blue River, passesNear, 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a22f9881908b220dbe1e80c101 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8413f30c8190aebe1504e213b6cc completed April 14, 2026, 6:14 p.m.
Created at: April 6, 2026, 11:39 a.m.