Triple
T20716868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler County, Missouri |
E509192
|
entity |
| Predicate | isHistoricallyDistinctRegion |
P141237
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Butler County, Missouri, isHistoricallyDistinctRegion, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricallyDistinctRegion Context triple: [Butler County, Missouri, isHistoricallyDistinctRegion, yes]
-
A.
historicallyIncludedRegion
Indicates that one region was formerly part of, or contained within, another region during a past historical period.
-
B.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
C.
historicalRegionCode
Indicates that an entity is associated with a specific code identifying a historical region.
-
D.
historicalRegionCorrespondsTo
Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
-
E.
isHistoricRegionFor
Indicates that one entity serves as a historically recognized region associated with, or significant to, another entity.
- F. None of above. chosen
Provenance (4 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d2c57481909840945ffd3b0cc3 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:16 p.m.