Triple
T36776151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentuckiana |
E908625
|
entity |
| Predicate | majorSuburbanArea |
P119819
|
FINISHED |
| Object | Jeffersontown, Kentucky |
—
|
NE NERFINISHED |
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: Jeffersontown, Kentucky | Statement: [Kentuckiana, majorSuburbanArea, Jeffersontown, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSuburbanArea Context triple: [Kentuckiana, majorSuburbanArea, Jeffersontown, Kentucky]
-
A.
suburbanAreasDominatedBy
Indicates that one suburban area is predominantly controlled, influenced, or characterized by another entity (such as a group, activity, or demographic).
-
B.
majorSuburbsIncluded
chosen
Indicates that certain major suburbs are encompassed within or form part of a larger defined area or entity.
-
C.
containsSuburbanAreaOf
Indicates that one geographic region includes within its boundaries a suburban area belonging to or associated with another region.
-
D.
hasSuburbanAreas
Indicates that a place includes or is associated with surrounding residential suburban districts or neighborhoods.
-
E.
isSuburbanArea
Indicates that a location is characterized as a suburban area, typically lying between urban and rural regions and exhibiting suburban development patterns.
- F. None of above.
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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:12 p.m.