Triple
T6252288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finney County, Kansas |
E140074
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Holcomb, Kansas |
E249400
|
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: Holcomb, Kansas | Statement: [Finney County, Kansas, contains, Holcomb, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holcomb, Kansas Context triple: [Finney County, Kansas, contains, Holcomb, Kansas]
-
A.
Holcomb, Kansas
chosen
Holcomb, Kansas is a small rural village in western Kansas best known as the real-life setting of Truman Capote’s true-crime book "In Cold Blood."
-
B.
Humboldt, Kansas
Humboldt, Kansas is a small historic city in Allen County known for its 19th-century roots, role in the Civil War era, and location along the Neosho River in southeastern Kansas.
-
C.
McCune, Kansas
McCune, Kansas is a small rural city located in southeastern Kansas within the Pittsburg micropolitan area.
-
D.
Altamont, Kansas
Altamont, Kansas is a small rural city in Labette County known for its agricultural surroundings and location in the southeastern part of the state.
-
E.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063417c8c8190945049881819d307 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787f5123c8190957161b7afae67dd |
completed | March 28, 2026, 7:49 a.m. |
Created at: March 22, 2026, 4:24 p.m.