Triple
T21001095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boundstone |
E517288
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rowledge |
—
|
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: Rowledge | Statement: [Boundstone, locatedNear, Rowledge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowledge Context triple: [Boundstone, locatedNear, Rowledge]
-
A.
Rowledge
chosen
Rowledge is a village on the outskirts of Farnham in Surrey, England, known for its residential character and proximity to the Surrey-Hampshire border.
-
B.
Blackwell
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
-
C.
Blackwell
Blackwell is a village and civil parish in Derbyshire, England, known historically for its coal mining and proximity to the town of South Normanton.
-
D.
Blackwell
Blackwell is a prominent academic publishing company known for producing scholarly books and journals across a wide range of disciplines.
-
E.
Blackwell
Blackwell is a small city in northern Oklahoma known historically for its agricultural roots and former zinc smelting industry.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc25c1f8819086bdbfd89d390f5f |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.