Triple
T12346887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Bayview Park |
E294378
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Levenmouth |
E294376
|
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: Levenmouth | Statement: [Old Bayview Park, locatedIn, Levenmouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levenmouth Context triple: [Old Bayview Park, locatedIn, Levenmouth]
-
A.
Southwater
Southwater is a large village and civil parish in West Sussex, England, situated just south of the town of Horsham.
-
B.
Firth
Firth is the surname of English actor Colin Firth, known for his acclaimed performances in films such as "The King’s Speech" and "Pride and Prejudice."
-
C.
Firth
Firth is a small settlement in Orkney, Scotland, known for its rural landscape and proximity to the Rendall Hills.
-
D.
Knollsea
Knollsea is a fictional coastal town in Thomas Hardy’s Wessex, modeled on the real seaside resort of Swanage in Dorset, England.
-
E.
Levenmouth area
chosen
The Levenmouth area is a coastal region in Fife, Scotland, encompassing the town of Leven and its surrounding communities.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:53 p.m.