Triple
T16547774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uplands |
E401987
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sketty |
E401986
|
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: Sketty | Statement: [Uplands, locatedNear, Sketty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sketty Context triple: [Uplands, locatedNear, Sketty]
-
A.
Sketty
chosen
Sketty is a suburban district of Swansea in South Wales, known primarily as a residential area with local amenities and proximity to Swansea University.
-
B.
Seaburn
Seaburn is a coastal suburb and popular seaside resort area of Sunderland in North East England, known for its sandy beach and promenade.
-
C.
Squackett
Squackett was a progressive rock collaboration between Yes bassist Chris Squire and former Genesis guitarist Steve Hackett.
-
D.
The Harbour
The Harbour is a creative work by Croatian illustrator, animator, and filmmaker Milan Trenc, known for his distinctive, surreal visual style.
-
E.
Shipshaw
Shipshaw is a former municipality in Quebec, Canada, that was incorporated into the city of Saguenay during a municipal merger.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbf79048190b761008441762374 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b4f6448190812632ab9023b665 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.