Triple
T19396353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bybrook River |
E485196
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Box |
—
|
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: Box | Statement: [Bybrook River, flowsThrough, Box]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Box Context triple: [Bybrook River, flowsThrough, Box]
-
A.
Box
Box is a cloud content management and file-sharing service for businesses, known for its collaboration tools and enterprise-focused security features.
-
B.
Box
chosen
Box is a village in Wiltshire, England, known for its historic quarrying industry and its location near the western portal of the Box Tunnel on the Great Western Main Line.
-
C.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
D.
Mailbox
Mailbox is a cheerful, talking mailbox character from the children's television series "Blue’s Clues" who delivers letters and helps advance the show's interactive clues and stories.
-
E.
Mailbox
Mailbox was a popular mobile email management app known for its innovative swipe-based interface and focus on inbox organization, later acquired by Dropbox.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.