Triple
T3002931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Rea |
E81830
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Bourn |
E290656
|
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 Bourn | Statement: [River Rea, hasTributary, River Bourn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Bourn Context triple: [River Rea, hasTributary, River Bourn]
-
A.
River Bourne
chosen
River Bourne is a chalk stream in Wiltshire, England, that flows through the Bourne Valley before joining the River Avon near Salisbury.
-
B.
River Bourne
River Bourne is a small river in Dorset, England, that flows through and gives its name to the coastal town of Bournemouth.
-
C.
River Amber
The River Amber is a small river in Derbyshire, England, that flows through the Amber Valley before joining the River Derwent.
-
D.
The Sheaf
The Sheaf is a late abstract mural-sized work by Henri Matisse, created using his signature cut-out technique and characterized by bold, colorful leaf-like forms.
-
E.
Wildwood
Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1371c481909e214234afed1a65 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5302c881908294827106b314e4 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.