Triple
T27478392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth City, Florida |
E693528
|
entity |
| Predicate | inIncorporatedArea |
P19845
|
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: [Kenneth City, Florida, inIncorporatedArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inIncorporatedArea Context triple: [Kenneth City, Florida, inIncorporatedArea, yes]
-
A.
isIncorporatedPlace
chosen
Indicates that a location is a legally established, self-governing municipal entity (such as a city, town, or village) recognized as an incorporated place.
-
B.
incorporatedAs
Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
-
C.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
D.
incorporatedAsBorough
Indicates that an entity was formally established and granted legal status as a borough.
-
E.
containsSuburbanAreaOf
Indicates that one geographic region includes within its boundaries a suburban area belonging to or associated with another region.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e463b8c8190822be73c3270fe16 |
completed | May 2, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:58 p.m.