Triple
T22509415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daybrook |
E556478
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Day Brook |
—
|
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: Day Brook | Statement: [Daybrook, namedAfter, Day Brook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day Brook Context triple: [Daybrook, namedAfter, Day Brook]
-
A.
Day Brook
chosen
Day Brook is a small watercourse in Nottinghamshire, England, that flows through the suburb of Daybrook and into the River Leen.
-
B.
Johns Brook
Johns Brook is a mountain stream in the Adirondack High Peaks region of New York, popular with hikers and backpackers for its scenic cascades and access to surrounding peaks.
-
C.
Manalapan Brook
Manalapan Brook is a stream in central New Jersey that serves as a notable local waterway and the namesake of Manalapan Township.
-
D.
Black Brook
Black Brook is a minor watercourse in northwestern England that serves as a tributary within the River Sankey catchment.
-
E.
Black Brook
Black Brook is a small watercourse in Derbyshire, England, known for flowing through the hamlet of Chapel Milton in the Peak District.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ebe5881908a22d519128415f2 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.