Triple
T18558756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A368 road |
E453574
|
entity |
| Predicate | runsThrough |
P416
|
FINISHED |
| Object | Chew Valley |
—
|
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: Chew Valley | Statement: [A368 road, runsThrough, Chew Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chew Valley Context triple: [A368 road, runsThrough, Chew Valley]
-
A.
Chew Valley
chosen
Chew Valley is a rural area in North Somerset, England, known for its scenic countryside, reservoir, and views from the surrounding hills.
-
B.
Tamar Valley
Tamar Valley is a scenic river valley in southwest England known for its picturesque landscapes, historic mining heritage, and rich biodiversity.
-
C.
Tamar Valley
Tamar Valley is a scenic alpine valley in northwestern Slovenia, known for its dramatic mountain landscapes, hiking trails, and proximity to the resort town of Kranjska Gora.
-
D.
Tamar Valley
Tamar Valley is a scenic river valley in northern Tasmania known for its vineyards, orchards, and picturesque rural landscapes.
-
E.
Wear Valley
Wear Valley is a district in County Durham, England, characterized by its rural landscapes, former mining communities, and the course of the River Wear running through it.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53808c3fc8190aac38b29296cee13 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:41 a.m.