Triple
T484183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Methil |
E9837
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Buckhaven |
E8174
|
NE FINISHED |
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: Buckhaven | Statement: [Methil, near, Buckhaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buckhaven Context triple: [Methil, near, Buckhaven]
-
A.
Buckhaven
chosen
Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
-
B.
Hillington
Hillington is a small village and civil parish in Norfolk, England, known for its rural setting and historic country estate, Hillington Hall.
-
C.
Kingscliff
Kingscliff is a coastal town in northeastern New South Wales, Australia, known for its beaches, surf breaks, and relaxed holiday atmosphere.
-
D.
Morley
Morley is a town in West Yorkshire, England, situated between Leeds and Bradford within the Leeds City Council metropolitan area.
-
E.
Motherwell
Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0ba310c81909645ef7e8a20b52f |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a49eb7b49c819098352f36d020cde7 |
completed | March 1, 2026, 8:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.