Triple
T5843619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swansea Bay |
E129651
|
entity |
| Predicate | coastlineShape |
P943
|
FINISHED |
| Object | wide shallow arc |
—
|
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: wide shallow arc | Statement: [Swansea Bay, coastlineShape, wide shallow arc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastlineShape Context triple: [Swansea Bay, coastlineShape, wide shallow arc]
-
A.
coastlineFeature
Indicates that a geographic entity is a specific type of feature located along or forming part of a coastline.
-
B.
hasCoastline
Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
-
C.
hasCoastlineType
chosen
Indicates the specific nature or classification of the coastline associated with a geographic entity.
-
D.
influencedCoastlineOf
Indicates that one entity has affected, shaped, or altered the characteristics, form, or condition of another entity’s coastline.
-
E.
hasCoastlineDesignation
Indicates that a geographic area’s coastline has been assigned a specific official classification or status.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.