Triple
T27142339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Céide Fields |
E681846
|
entity |
| Predicate | hasVegetationContext |
P166172
|
FINISHED |
| Object | former forested landscape |
—
|
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: former forested landscape | Statement: [Céide Fields, hasVegetationContext, former forested landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVegetationContext Context triple: [Céide Fields, hasVegetationContext, former forested landscape]
-
A.
hasVegetationLayer
Indicates that an entity possesses a distinct layer or cover of vegetation as part of its structure or surface.
-
B.
hasVegetationProcess
Indicates a relationship where a subject undergoes, involves, or is associated with a specific vegetation-related process (such as growth, succession, or change in plant cover).
-
C.
hasVegetationRole
Indicates that an entity participates in or is assigned a specific functional role related to vegetation (such as growth, maintenance, or impact on plant life).
-
D.
hasVegetationIssue
Indicates that an entity is affected by a problem, damage, or abnormal condition related to its vegetation or plant life.
-
E.
vegetationCoverage
Indicates the extent or proportion of an area that is covered by vegetation.
- F. None of above. chosen
Provenance (4 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 9:10 a.m.