Triple
T30625435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southbroom |
E779562
|
entity |
| Predicate | hasCoastalVegetation |
P75701
|
FINISHED |
| Object | dune forest |
—
|
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: dune forest | Statement: [Southbroom, hasCoastalVegetation, dune forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastalVegetation Context triple: [Southbroom, hasCoastalVegetation, dune forest]
-
A.
hasCoastalEnvironment
Indicates that an entity is located in, adjacent to, or characterized by a coastal environment or shoreline setting.
-
B.
hasCoastalCharacteristic
chosen
Indicates that an entity possesses a feature, quality, or condition specifically related to coastal or shoreline environments.
-
C.
containsCoastalFeature
Indicates that one entity geographically includes or encompasses a coastal feature (such as a beach, cliff, bay, or shoreline) within its area or boundaries.
-
D.
isCoastalVarietyOf
Indicates that one variety or subtype is specifically adapted to or characteristic of coastal environments, distinguishing it from other varieties of the same kind.
-
E.
hasRiparianVegetation
Indicates that an area or feature is associated with, bordered by, or contains vegetation growing along the banks of a river, stream, or other watercourse.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0174142430819084aa1235500b9d3b |
completed | May 11, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_6a0171a6e0088190958679bb6cb24a70 |
completed | May 11, 2026, 6:05 a.m. |
Created at: April 29, 2026, 8:27 p.m.