Triple
T10001445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llandovery |
E197336
|
entity |
| Predicate | hasWelshName |
P4705
|
FINISHED |
| Object |
Llanymddyfri
Llanymddyfri is a historic market town in Carmarthenshire, Wales, known in English as Llandovery and noted for its medieval castle and position on the edge of the Brecon Beacons.
|
E833840
|
NE FINISHED |
How this triple was built (4 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: Llanymddyfri | Statement: [Llandovery, hasWelshName, Llanymddyfri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanymddyfri Context triple: [Llandovery, hasWelshName, Llanymddyfri]
-
A.
Llanelltyd
Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
-
B.
Llanwnnen
Llanwnnen is a small rural village in Ceredigion, west Wales, situated near the market town of Lampeter.
-
C.
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.
-
D.
Llanegryn
Llanegryn is a small village in Gwynedd, Wales, situated in the Dysynni Valley near the coastal town of Tywyn.
-
E.
Llanymynech
Llanymynech is a village on the England–Wales border known for its historic limestone quarrying and canal heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Llanymddyfri Triple: [Llandovery, hasWelshName, Llanymddyfri]
Generated description
Llanymddyfri is a historic market town in Carmarthenshire, Wales, known in English as Llandovery and noted for its medieval castle and position on the edge of the Brecon Beacons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llanymddyfri Target entity description: Llanymddyfri is a historic market town in Carmarthenshire, Wales, known in English as Llandovery and noted for its medieval castle and position on the edge of the Brecon Beacons.
-
A.
Llanelltyd
Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
-
B.
Llanwnnen
Llanwnnen is a small rural village in Ceredigion, west Wales, situated near the market town of Lampeter.
-
C.
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.
-
D.
Llanegryn
Llanegryn is a small village in Gwynedd, Wales, situated in the Dysynni Valley near the coastal town of Tywyn.
-
E.
Llanymynech
Llanymynech is a village on the England–Wales border known for its historic limestone quarrying and canal heritage.
- F. None of above. chosen
Provenance (5 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8f50888190b2f1c5240cb58e4f |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25854c524819081315b1a8faf335e |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d259016fb08190aadf9d4cee0b42d7 |
completed | April 5, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d259a2e48481908bd8e4829f676618 |
completed | April 5, 2026, 12:46 p.m. |
Created at: March 30, 2026, 8:51 p.m.