Triple
T12536642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ixworth |
E299707
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Thet |
E583680
|
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 Thet | Statement: [Ixworth, hasRiver, River Thet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Thet Context triple: [Ixworth, hasRiver, River Thet]
-
A.
River Thet
chosen
River Thet is a small river in Norfolk, England, that flows through the town of Thetford and forms part of the local Breckland landscape.
-
B.
River Hodder
River Hodder is a river in Lancashire, England, known for flowing through the Forest of Bowland and joining the River Ribble near Great Mitton.
-
C.
River Thur
River Thur is a major river in northeastern Switzerland that flows through the canton of Thurgau before joining the Rhine.
-
D.
Lez River
The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
-
E.
River Lud
The River Lud is a small river in Lincolnshire, England, that flows through the market town of Louth before joining the River Witham system.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d672808190b72a923e285a91bb |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:57 p.m.