Triple
T6605079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flint Hills |
E149095
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Geary County
Geary County is a county in northeastern Kansas known for its mix of military presence at Fort Riley, the city of Junction City, and its location within the tallgrass prairie region.
|
E610951
|
NE FINISHED |
How this triple was built (4 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: Geary County | Statement: [Flint Hills, hasPart, Geary County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geary County Context triple: [Flint Hills, hasPart, Geary County]
-
A.
Finney County
Finney County is a county in southwestern Kansas known for its agricultural economy, diverse population, and county seat of Garden City.
-
B.
Barton County
Barton County is a rural county in southwestern Missouri, United States, known as the birthplace of President Harry S. Truman.
-
C.
Hutchinson County
Hutchinson County is a rural county in the Texas Panhandle known for its oil and gas production and small, closely knit communities.
-
D.
Bollinger County
Bollinger County is a rural county in southeastern Missouri known for its rolling hills, forests, and small farming communities.
-
E.
Taney County
Taney County is a county in southwestern Missouri known for encompassing the popular tourist destination city of Branson.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Geary County Triple: [Flint Hills, hasPart, Geary County]
Generated description
Geary County is a county in northeastern Kansas known for its mix of military presence at Fort Riley, the city of Junction City, and its location within the tallgrass prairie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geary County Target entity description: Geary County is a county in northeastern Kansas known for its mix of military presence at Fort Riley, the city of Junction City, and its location within the tallgrass prairie region.
-
A.
Finney County
Finney County is a county in southwestern Kansas known for its agricultural economy, diverse population, and county seat of Garden City.
-
B.
Barton County
Barton County is a rural county in southwestern Missouri, United States, known as the birthplace of President Harry S. Truman.
-
C.
Hutchinson County
Hutchinson County is a rural county in the Texas Panhandle known for its oil and gas production and small, closely knit communities.
-
D.
Bollinger County
Bollinger County is a rural county in southeastern Missouri known for its rolling hills, forests, and small farming communities.
-
E.
Taney County
Taney County is a county in southwestern Missouri known for encompassing the popular tourist destination city of Branson.
- F. None of above. chosen
Provenance (5 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af13151c81909b68fa6c77e1c482 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f78a79a88190940cf86dc80404e7 |
completed | March 27, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69c6f8946b2c8190b18edff8523cf565 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f96c215081909e9d7a6e0a811f18 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 1:56 p.m.