Triple
T14414803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Brue |
E357421
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Sheppey |
E954503
|
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: River Sheppey | Statement: [River Brue, hasTributary, River Sheppey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Sheppey Context triple: [River Brue, hasTributary, River Sheppey]
-
A.
River Sheppey
chosen
River Sheppey is a small river in Somerset, England, that flows through towns such as Shepton Mallet before joining the River Brue.
-
B.
The Swale
The Swale is a tidal channel and estuary in Kent, England, that separates the Isle of Sheppey from the mainland and forms part of the Swale Site of Special Scientific Interest.
-
C.
River Darent
River Darent is a chalk stream river in Kent, England, flowing north through the Darent Valley to join the River Thames.
-
D.
River Nore
River Nore is a major river in southeastern Ireland known for flowing through scenic countryside and historic towns, including the city of Kilkenny.
-
E.
River Swilly
River Swilly is a river in County Donegal, Ireland, that flows through Letterkenny before emptying into Lough Swilly on the north coast.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552a75ec8190b966d509d315ca60 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.