Triple
T20180700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EX postcode area |
E492717
|
entity |
| Predicate | coversTown |
P847
|
FINISHED |
| Object | Bude |
—
|
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: Bude | Statement: [EX postcode area, coversTown, Bude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bude Context triple: [EX postcode area, coversTown, Bude]
-
A.
Bude
chosen
Bude is a seaside town and popular holiday resort on the north coast of Cornwall in southwest England, known for its beaches and surfing.
-
B.
Bered
Bered is a lesser-known biblical locality mentioned in the Book of Genesis, situated in the Negev region along the route between Canaan and Egypt.
-
C.
Bunbeg
Bunbeg is a small coastal village in the Gweedore region of County Donegal, Ireland, known for its scenic harbor, beaches, and traditional Irish-speaking community.
-
D.
Bumehen
Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
-
E.
Beban
Beban is the surname of Gary Beban, a former American football quarterback and Heisman Trophy winner.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668eed2e88190b54b15e6545dbdf8 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.