Triple
T7802712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden City |
E180468
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Barton County |
E273230
|
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: Barton County | Statement: [Golden City, locatedIn, Barton County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barton County Context triple: [Golden City, locatedIn, Barton County]
-
A.
Barton County
chosen
Barton County is a rural county in southwestern Missouri, United States, known as the birthplace of President Harry S. Truman.
-
B.
Bollinger County
Bollinger County is a rural county in southeastern Missouri known for its rolling hills, forests, and small farming communities.
-
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.
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.
-
E.
Finney County
Finney County is a county in southwestern Kansas known for its agricultural economy, diverse population, and county seat of Garden City.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf635a4648190af907a686d87f073 |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdec158788190aae5038ea72f2a99 |
completed | March 31, 2026, 2:48 p.m. |
Created at: March 30, 2026, 4:33 p.m.