Triple
T11744636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dickinson County |
E279245
|
entity |
| Predicate | hasLargestCity |
P235
|
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: [Dickinson County, hasLargestCity, Abilene, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abilene, Kansas Context triple: [Dickinson County, hasLargestCity, Abilene, Kansas]
-
A.
Bel Aire, Kansas
Bel Aire, Kansas is a suburban city in south-central Kansas, located just northeast of Wichita.
-
B.
Albert, Kansas
Albert, Kansas is a small rural city in central Kansas located within Barton County.
-
C.
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.
-
D.
Allen, Kansas
Allen, Kansas is a small rural city in eastern Kansas known for its close-knit community and agricultural surroundings.
-
E.
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.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72654dc88819095bc1ce23dfee4df |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 8, 2026, 9:41 p.m.