Triple
T17433931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flamingo Land Resort |
E423950
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Malton |
—
|
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: Malton | Statement: [Flamingo Land Resort, near, Malton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malton Context triple: [Flamingo Land Resort, near, Malton]
-
A.
Malton
Malton is a diverse residential and industrial neighbourhood in the northeastern part of Mississauga, Ontario, known for its proximity to Toronto Pearson International Airport.
-
B.
Malton
chosen
Malton is a market town in North Yorkshire, England, known for its historic character and reputation as a food and drink destination.
-
C.
Malham
Malham is a picturesque village in North Yorkshire, England, renowned for its dramatic limestone scenery including Malham Cove and Gordale Scar.
-
D.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
-
E.
Maxton
Maxton is the given first name of English actor and musician Max Beesley.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490274608190a60ada9aeb246eff |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.