Triple
T12708682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covehithe |
E303654
|
entity |
| Predicate | shorelineManagementIssue |
P97587
|
FINISHED |
| Object | retreating coastline |
—
|
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: retreating coastline | Statement: [Covehithe, shorelineManagementIssue, retreating coastline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shorelineManagementIssue Context triple: [Covehithe, shorelineManagementIssue, retreating coastline]
-
A.
shorelineDevelopment
Indicates the extent to which human-made structures or modifications have been built along a shoreline.
-
B.
shorelineIncludes
Indicates that a shoreline spatially contains or encompasses a specified coastal feature or segment.
-
C.
shorelineOwnership
Indicates that one entity holds legal or recognized ownership rights over a stretch of shoreline associated with another entity or location.
-
D.
hasCoastManagement
Indicates that an entity is responsible for or involved in the management, regulation, or oversight of coastal areas or coastal resources in relation to another entity or region.
-
E.
hasCoastalProtectionConcern
chosen
Indicates that an entity has an issue, risk, or consideration related to protecting coastal areas from environmental or human impacts.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.