Triple
T18779126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Ray |
E459208
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | River Ray |
—
|
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: River Ray | Statement: [River Ray, hasName, River Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Ray Context triple: [River Ray, hasName, River Ray]
-
A.
River Ray
chosen
The River Ray is a small tributary of the River Cherwell in Oxfordshire, England, flowing through rural countryside and villages such as Islip.
-
B.
River Blithe
River Blithe is a small river in Staffordshire, England, known for flowing through rural landscapes before joining the River Trent.
-
C.
River Bure
The River Bure is a river in Norfolk, England, that flows through the Norfolk Broads before reaching the North Sea near Great Yarmouth.
-
D.
river Dill
The river Dill is a tributary of the Lahn in central Germany, flowing through the town of Dillenburg and the surrounding region of Hesse and North Rhine-Westphalia.
-
E.
Tish Rivers
Tish Rivers is the young, determined protagonist of James Baldwin’s novel *If Beale Street Could Talk*, who fights to prove her fiancé’s innocence while navigating love, family, and systemic injustice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933d2d048190a42480edc70bf086 |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.