Triple
T6766876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basingstoke Canal |
E154743
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Fleet |
E74484
|
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: Fleet | Statement: [Basingstoke Canal, passesThrough, Fleet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleet Context triple: [Basingstoke Canal, passesThrough, Fleet]
-
A.
Fleet
chosen
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
B.
Fleet
Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
-
C.
Fleet
Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
-
D.
The Fleet
"The Fleet" is a prominent maritime painting by American artist Armin Hansen, known for its dynamic depiction of fishing vessels and the rugged life of seafarers.
-
E.
Flotta
Flotta is a small island in the Orkney archipelago of Scotland, known for its oil terminal and role in North Sea petroleum operations.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2303c6881909405f0d6089dbe12 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712be7f9c8190b2667fc4c8d5f601 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:12 p.m.