Triple
T35666913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brantley Lake |
E1030591
|
entity |
| Predicate | isContainedInProtectedArea |
P10759
|
FINISHED |
| Object | Brantley Lake State Park |
—
|
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: Brantley Lake State Park | Statement: [Brantley Lake, isContainedInProtectedArea, Brantley Lake State Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isContainedInProtectedArea Context triple: [Brantley Lake, isContainedInProtectedArea, Brantley Lake State Park]
-
A.
isInProtectedArea
chosen
Indicates that an entity is located within a designated protected or conservation area.
-
B.
isProtectedAreaOf
Indicates that a designated protected area (such as a park or reserve) is established to conserve and manage a specific geographic region or natural feature.
-
C.
isInProtectedAreaVicinity
Indicates that an entity is located close to, but not necessarily within, a designated protected area.
-
D.
hasProtectedArea
Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
-
E.
isProtectedAreaBufferFor
Indicates that one area functions as a designated buffer zone surrounding and protecting another protected area.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:05 p.m.