Triple
T27478394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth City, Florida |
E693528
|
entity |
| Predicate | isLandlockedWithinCounty |
P45084
|
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, isLandlockedWithinCounty, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLandlockedWithinCounty Context triple: [Kenneth City, Florida, isLandlockedWithinCounty, yes]
-
A.
isInLandlockedCounty
chosen
Indicates that an entity is located within a county that has no direct access to the ocean or sea.
-
B.
isInLandlockedPartOfState
Indicates that a location lies within the portion of a state that has no direct access to the sea or ocean.
-
C.
isInLandlockedDistrict
Indicates that one entity is located within a district that has no direct access to the sea or ocean.
-
D.
isLandlockedWithinIsland
Indicates that an entity has no direct access to the open sea and is entirely surrounded by land that itself is part of an island.
-
E.
isInLandlockedProvince
Indicates that the location or entity is situated within a province that has no direct access to the sea or ocean.
- 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_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:58 p.m.