Triple
T10856877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bramley-Moore Dock |
E256289
|
entity |
| Predicate | waterAreaType |
P1011
|
FINISHED |
| Object | dock basin |
—
|
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: dock basin | Statement: [Bramley-Moore Dock, waterAreaType, dock basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterAreaType Context triple: [Bramley-Moore Dock, waterAreaType, dock basin]
-
A.
waterbodyType
chosen
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
B.
hasAreaWaterBody
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
C.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
D.
areaWater
Indicates the relationship between a geographic entity and the total area of its surface that is covered by water.
-
E.
waterbodyRegion
Indicates that a water body is located within, associated with, or spans a particular geographic region.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7513695ac8190b5812e977a422c37 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.