Triple
T5884327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neosho County, Kansas |
E130823
|
entity |
| Predicate | hasCountySeat |
P383
|
FINISHED |
| Object | Erie, Kansas |
E585431
|
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: Erie, Kansas | Statement: [Neosho County, Kansas, hasCountySeat, Erie, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erie, Kansas Context triple: [Neosho County, Kansas, hasCountySeat, Erie, Kansas]
-
A.
Erie, Kansas
chosen
Erie, Kansas is a small rural city that serves as the county seat of Neosho County in southeastern Kansas.
-
B.
Eureka, Kansas
Eureka, Kansas is a small city in Greenwood County that serves as a local hub for the surrounding rural area in southeastern Kansas.
-
C.
Ellsworth, Kansas
Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
-
D.
White City, Kansas
White City, Kansas is a small rural town in Morris County that forms part of the Manhattan, Kansas metropolitan area.
-
E.
Belvue, Kansas
Belvue, Kansas is a small rural city in Pottawatomie County that functions as part of the greater Manhattan, Kansas regional community.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0367743508190bae211e9ce8f9690 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cae2c7f4819096354202532ae488 |
completed | March 27, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.