Triple
T15159289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanegryn |
E362162
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Llanegryn |
E362162
|
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: Llanegryn | Statement: [Llanegryn, hasCommunity, Llanegryn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanegryn Context triple: [Llanegryn, hasCommunity, Llanegryn]
-
A.
Llanegryn
chosen
Llanegryn is a small village in Gwynedd, Wales, situated in the Dysynni Valley near the coastal town of Tywyn.
-
B.
Llanelltyd
Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
-
C.
Llanwnnen
Llanwnnen is a small rural village in Ceredigion, west Wales, situated near the market town of Lampeter.
-
D.
Llanwddyn
Llanwddyn is a small village in Powys, Wales, best known for its relocation during the late 19th century to make way for the creation of Lake Vyrnwy reservoir.
-
E.
Llanymynech
Llanymynech is a village on the England–Wales border known for its historic limestone quarrying and canal heritage.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ec7a4748190822e66a756bc95b9 |
completed | May 10, 2026, 11:40 a.m. |
Created at: April 10, 2026, 3:08 a.m.