Triple
T8144285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abertillery |
E190169
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Blaina |
E191232
|
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: Blaina | Statement: [Abertillery, hasNearbySettlement, Blaina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaina Context triple: [Abertillery, hasNearbySettlement, Blaina]
-
A.
Blaina
chosen
Blaina is a small former coal-mining town in the county borough of Blaenau Gwent in South Wales.
-
B.
Brecon
Brecon is a historic market town in Powys, mid Wales, known for its cathedral, Georgian architecture, and location near the Brecon Beacons National Park.
-
C.
Tulchyn
Tulchyn is a historic town in central Ukraine known for its architectural heritage, including the Potocki Palace, and its role as a cultural center in the region.
-
D.
Nant Gwynant
Nant Gwynant is a scenic valley in Snowdonia, Wales, known for its lakes, mountain views, and popular hiking routes near Snowdon.
-
E.
Plynlimon
Plynlimon is a massif in central Wales known as the mountainous area where several major rivers, including the River Severn, have their headwaters.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4445f1948190b8d319b60dd47f65 |
completed | March 31, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94b0fc0481909a21f42364a92158 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 5:36 p.m.