Triple
T13772252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coverdale |
E330908
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Cover |
E591529
|
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 Cover | Statement: [Coverdale, hasRiver, River Cover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Cover Context triple: [Coverdale, hasRiver, River Cover]
-
A.
River Cover
chosen
River Cover is a small river in North Yorkshire, England, flowing through Coverdale before joining the River Ure.
-
B.
Riverwide
"Riverwide" is a contemplative song by American singer-songwriter Sheryl Crow, known for its emotive lyrics and melodic, roots-rock style.
-
C.
Every River
"Every River" is a song by the Scottish Celtic rock band Runrig, known for its emotive melody and themes of longing and connection.
-
D.
Riverbed
Riverbed is a large-scale immersive installation by artist Olafur Eliasson that transforms a gallery space into a rocky, river-like landscape, inviting viewers to experience a constructed natural environment indoors.
-
E.
Scene on a Navigable River
Scene on a Navigable River is a landscape painting by John Constable depicting the rural riverside scenery around Flatford in Suffolk, England.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0235aea881909ab4c721db081b00 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86907cc8190a6a6b475d08f0dc7 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.