Triple
T19557567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ton Pentre |
E489354
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Pentre |
—
|
NE NERFINISHED |
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: Pentre | Statement: [Ton Pentre, hasNeighbouringSettlement, Pentre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pentre Context triple: [Ton Pentre, hasNeighbouringSettlement, Pentre]
-
A.
Pentre
chosen
Pentre is a village in the Rhondda Valley of South Wales, historically associated with coal mining and typical terraced housing.
-
B.
Pentre
Pentre is a village in the Deeside area of Flintshire, Wales, forming part of the wider industrial and residential region along the River Dee.
-
C.
Pentrepiod
Pentrepiod is a small intermediate halt on the narrow-gauge Bala Lake Railway in Gwynedd, Wales.
-
D.
Pentre-Bont
Pentre-Bont is a small settlement located in the scenic Lledr Valley in Conwy County Borough, Wales.
-
E.
Pentre Ifan
Pentre Ifan is a well-preserved Neolithic dolmen in Pembrokeshire, Wales, renowned for its striking capstone and status as one of the most iconic megalithic monuments in Britain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d34d1bc81908e5e10f069655866 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.