Triple
T21542574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensbourne |
E531528
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Pool River |
—
|
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: Pool River | Statement: [Ravensbourne, hasTributary, Pool River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pool River Context triple: [Ravensbourne, hasTributary, Pool River]
-
A.
Pool River
chosen
Pool River is a small urban waterway in southeast London that serves as a tributary of the River Ravensbourne.
-
B.
River Rat
The River Rat is a small river in Suffolk, England, that flows through villages such as Rattlesden before joining the River Gipping.
-
C.
Đáy River
Đáy River is a significant river in northern Vietnam that flows through several provinces and districts, serving as an important waterway and agricultural resource.
-
D.
Days River
Days River is a river in Michigan’s Upper Peninsula that flows into Little Bay de Noc on Lake Michigan.
-
E.
Flatland River
Flatland River is a painting by American artist Wayne Thiebaud, known for its stylized depiction of expansive, geometric landscapes rendered in his characteristic vivid palette and thick impasto.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58c34808190b0eb54ba01e2cc13 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.