Triple
T16459086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llandaff Campus |
E399758
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Llandaff |
E227491
|
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: Llandaff | Statement: [Llandaff Campus, locatedIn, Llandaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llandaff Context triple: [Llandaff Campus, locatedIn, Llandaff]
-
A.
Llandaff
chosen
Llandaff is a historic district of Cardiff in Wales, best known for its medieval cathedral and long-standing ecclesiastical significance.
-
B.
Llantrisant
Llantrisant is a historic Welsh town known for its medieval heritage and hilltop setting in South Wales.
-
C.
Bridgend
Bridgend is a small village on the Scottish island of Islay, known for its rural setting and role as a local hub near the island’s central crossroads.
-
D.
Bridgend
Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
-
E.
Ystradgynlais
Ystradgynlais is a town in southwest Powys, Wales, situated in the upper Swansea Valley near the Brecon Beacons.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ff0e881909100bb5b33c04291 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a50665d081908c07fe3cb59088b3 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:10 a.m.