Triple
T10985288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloucester and Berkeley Canal |
E259612
|
entity |
| Predicate | hasLock |
P2431
|
FINISHED |
| Object | Sharpness Lock |
E226699
|
NE 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: Sharpness Lock | Statement: [Gloucester and Berkeley Canal, hasLock, Sharpness Lock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharpness Lock Context triple: [Gloucester and Berkeley Canal, hasLock, Sharpness Lock]
-
A.
Sharpness Lock
chosen
Sharpness Lock is a key lock structure at the southern end of the Gloucester and Sharpness Canal that connects the canal to the Severn Estuary and enables ships to navigate between them.
-
B.
Sharpness
Sharpness is a small port village in Gloucestershire, England, situated on the River Severn and known historically as a key inland dock and terminus for canal traffic.
-
C.
Aperture
Aperture was Apple’s professional photo editing and management application for macOS, aimed at photographers needing advanced workflow and image processing tools.
-
D.
Opti
Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
-
E.
Teston Lock
Teston Lock is a navigation lock on the River Medway in Kent, England, used to manage river levels and enable boat passage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772ed1eb88190b7333b746f76a088 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344d860b08190a035570191c54d7c |
completed | April 18, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:24 p.m.