Triple

T9482199
Position Surface form Disambiguated ID Type / Status
Subject Enterprise, Kansas E228668 entity
Predicate roadAccessTo P22549 FINISHED
Object Abilene, Kansas E4494 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: Abilene, Kansas | Statement: [Enterprise, Kansas, roadAccessTo, Abilene, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abilene, Kansas
Context triple: [Enterprise, Kansas, roadAccessTo, Abilene, Kansas]
  • A. Albert, Kansas
    Albert, Kansas is a small rural city in central Kansas located within Barton County.
  • B. Alexander, Kansas
    Alexander, Kansas is a small rural community located in Rush County in central Kansas, known for its agricultural surroundings and small-town character.
  • C. Allen, Kansas
    Allen, Kansas is a small rural city in eastern Kansas known for its close-knit community and agricultural surroundings.
  • D. Abilene, Kansas, United States chosen
    Abilene, Kansas, United States is a small Midwestern city best known as the boyhood home and final resting place of U.S. President Dwight D. Eisenhower and the site of his presidential library and museum.
  • E. 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.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14bf604d4819092fc25f487866834 completed April 4, 2026, 5:35 p.m.
Created at: March 30, 2026, 7:55 p.m.