Triple
T17620853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fife coast |
E429704
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Dysart |
—
|
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: Dysart | Statement: [Fife coast, containsSettlement, Dysart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dysart Context triple: [Fife coast, containsSettlement, Dysart]
-
A.
Dysart
chosen
Dysart is a historic coastal town in Fife, Scotland, known for its old harbour, preserved pan-tiled buildings, and role as a filming location in the TV series "Outlander."
-
B.
Dysart
Dysart is a major town in Queensland’s Isaac Region, known for its role in supporting the surrounding coal mining industry.
-
C.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
D.
Devorski
Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
-
E.
Bricklebaum
Bricklebaum is a relentlessly cheerful and friendly Whoville resident who tries to befriend the Grinch in the 2018 animated adaptation of Dr. Seuss's classic story.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d36074481909ee79e238841edf2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.