Triple
T19457077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camborne |
E486761
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hayle |
—
|
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: Hayle | Statement: [Camborne, near, Hayle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayle Context triple: [Camborne, near, Hayle]
-
A.
Hayle
chosen
Hayle is a small coastal town and port in west Cornwall, England, situated at the mouth of the Hayle River and known for its industrial heritage and sandy beaches.
-
B.
Balhannah
Balhannah is a small rural town in the Adelaide Hills region of South Australia, known for its vineyards, orchards, and proximity to other historic hill settlements.
-
C.
Harrislee
Harrislee is a small German town in Schleswig-Holstein, located just south of the Danish border and closely linked to the neighboring city of Flensburg.
-
D.
Haillan
Haillan is a suburban commune in southwestern France that forms part of the greater Bordeaux metropolitan area.
-
E.
Blakeley
Blakeley is a given name and surname of English origin, often derived from place names meaning "dark wood" or "clearing."
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c4088881908f23f25a82a513f6 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.