Triple
T10596204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knoxville, Georgia |
E250118
|
entity |
| Predicate | CrawfordCountyCourthouseStatus |
P94838
|
FINISHED |
| Object | listed on the National Register of Historic Places |
—
|
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: listed on the National Register of Historic Places | Statement: [Knoxville, Georgia, CrawfordCountyCourthouseStatus, listed on the National Register of Historic Places]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CrawfordCountyCourthouseStatus Context triple: [Knoxville, Georgia, CrawfordCountyCourthouseStatus, listed on the National Register of Historic Places]
-
A.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
B.
hasCourthouse
Indicates that a location or jurisdiction possesses or contains a courthouse.
-
C.
garrisonCounty
Indicates that a military garrison is stationed in, or assigned responsibility for, a particular county.
-
D.
courthouseLocatedIn
Indicates that a courthouse is situated within or at a specific geographic or administrative location.
-
E.
isCornerCountyOf
Indicates that a county lies at or near the corner where two or more larger administrative regions (such as states or districts) meet.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278dacc4819089b759744f100e5f |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d5190a6dfc819088262957551808a1 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:41 p.m.