Triple
T30489001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trent Lock junction |
E775805
|
entity |
| Predicate | accessFromWaterway |
P31589
|
FINISHED |
| Object | Erewash Canal |
—
|
NE NERFINISHED |
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: Erewash Canal | Statement: [Trent Lock junction, accessFromWaterway, Erewash Canal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessFromWaterway Context triple: [Trent Lock junction, accessFromWaterway, Erewash Canal]
-
A.
waterwayAccess
chosen
Indicates that one location has direct access to a waterway (such as a river, canal, or sea route) that can be used for transport, navigation, or related activities.
-
B.
hasWaterfrontAccessTo
Indicates that one entity is directly adjacent to and can physically access a particular body of water, such as a lake, river, or ocean.
-
C.
associatedWithWaterways
Indicates a relationship in which something is connected, linked, or relevant to waterways such as rivers, canals, or streams.
-
D.
usedWaterway
Indicates that one entity traveled, transported goods, or otherwise moved via a particular waterway as the route or medium of use.
-
E.
waterwayThrough
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 29, 2026, 8:13 p.m.