Triple
T2691169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clacton-on-Sea |
E58404
|
entity |
| Predicate | coastalProtection |
P41538
|
FINISHED |
| Object | sea walls |
—
|
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: sea walls | Statement: [Clacton-on-Sea, coastalProtection, sea walls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalProtection Context triple: [Clacton-on-Sea, coastalProtection, sea walls]
-
A.
coastType
Indicates the specific kind or classification of a coastline associated with a geographic area.
-
B.
isCoastalCommunity
Indicates that a community is located along a coast or shoreline and is directly associated with a nearby sea or ocean.
-
C.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
D.
flowsAlongCoastOf
Indicates that something, typically a body of water or current, moves in a path that follows and runs adjacent to a coastline.
-
E.
shorelineIncludes
Indicates that a shoreline spatially contains or encompasses a specified coastal feature or segment.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0cb9b48190ab354c277cef9e23 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd891bcd481909af5340a64ff69f9 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.