Triple
T27333329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceanside Beach |
E689866
|
entity |
| Predicate | isNaturalArea |
P58243
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Oceanside Beach, isNaturalArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNaturalArea Context triple: [Oceanside Beach, isNaturalArea, true]
-
A.
hasNaturalAreaType
Indicates that an entity is associated with or classified by a specific type of natural area (e.g., forest, wetland, grassland).
-
B.
isNaturalFeature
chosen
Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
-
C.
containsNatureArea
Indicates that one entity spatially includes or encompasses a designated natural area within its boundaries.
-
D.
isNaturalIn
Indicates that something occurs, exists, or develops in a place or context as a native or inherent part of it, without artificial introduction.
-
E.
isScenicArea
Indicates that a location is recognized as a scenic area, typically valued for its natural beauty or visually appealing surroundings.
- 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_69ef355e5b388190a8fc1eba9b4a6656 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62acd191481908212829e834fc980 |
completed | May 2, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:39 a.m.