Triple
T23668882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arun Valley SSSI |
E584667
|
entity |
| Predicate | hasFeatureOfInterest |
P5379
|
FINISHED |
| Object | wet grassland |
—
|
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: wet grassland | Statement: [Arun Valley SSSI, hasFeatureOfInterest, wet grassland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeatureOfInterest Context triple: [Arun Valley SSSI, hasFeatureOfInterest, wet grassland]
-
A.
featureOfInterest
chosen
Indicates the entity or object that is the primary subject or focus of the described observation, measurement, or analysis.
-
B.
hasAreaOfInterest
Indicates that an entity possesses or is associated with a particular area of interest or focus.
-
C.
isFeatureOf
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
-
D.
hasObservationFeatures
Indicates that an observation is associated with specific measurable or descriptive features that characterize it.
-
E.
hasSurfaceFeatureState
Indicates that an entity currently exhibits a particular condition or status of one of its surface features.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40d0e208190969fecbede5979b8 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.