Triple
T18964856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandon Beach |
E464007
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Old Town Bandon |
—
|
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: Old Town Bandon | Statement: [Bandon Beach, near, Old Town Bandon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Town Bandon Context triple: [Bandon Beach, near, Old Town Bandon]
-
A.
Old Town Bandon
chosen
Old Town Bandon is the historic waterfront district of Bandon, Oregon, known for its preserved small-town charm, local shops, galleries, and coastal attractions.
-
B.
Bandon
Bandon is a parliamentary borough in County Cork, Ireland, historically represented in the UK Parliament during the 19th century.
-
C.
Glen Haven
Glen Haven is a small community located within the Township of South Dundas in eastern Ontario, Canada.
-
D.
Bandon Beach
Bandon Beach is a scenic stretch of Oregon coastline known for its dramatic sea stacks, tide pools, and picturesque sunsets.
-
E.
Old Town
Old Town is the historic central district of Olkusz, characterized by its preserved medieval urban layout, traditional architecture, and cultural landmarks.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d5365881909dcbb4988d273b24 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon