Triple
T1975239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglesey |
E42894
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Llangefni
Llangefni is a small market town on the island of Anglesey in Wales, known for serving as the island’s administrative centre.
|
E222606
|
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: Llangefni | Statement: [Anglesey, hasTown, Llangefni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llangefni Context triple: [Anglesey, hasTown, Llangefni]
-
A.
Llangennith
Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
-
B.
Llanfyllin
Llanfyllin is a small historic market town in Powys, Wales, known for its rural setting near the Berwyn Mountains and its traditional Welsh character.
-
C.
Llanbedr
Llanbedr is a small village in north-west Wales known for its scenic setting near the Snowdonia mountains and the coast, as well as its nearby former RAF airfield.
-
D.
Blaengwynfi
Blaengwynfi is a small former coal-mining village in South Wales, situated in the Afan Valley and now known for its surrounding forestry and outdoor recreation.
-
E.
Llangurig
Llangurig is a small village in Powys, mid Wales, known as one of the highest villages in Wales and a junction point for several major roads.
- 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: Llangefni Triple: [Anglesey, hasTown, Llangefni]
Generated description
Llangefni is a small market town on the island of Anglesey in Wales, known for serving as the island’s administrative centre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llangefni Target entity description: Llangefni is a small market town on the island of Anglesey in Wales, known for serving as the island’s administrative centre.
-
A.
Llangennith
Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
-
B.
Llanfyllin
Llanfyllin is a small historic market town in Powys, Wales, known for its rural setting near the Berwyn Mountains and its traditional Welsh character.
-
C.
Llanbedr
Llanbedr is a small village in north-west Wales known for its scenic setting near the Snowdonia mountains and the coast, as well as its nearby former RAF airfield.
-
D.
Blaengwynfi
Blaengwynfi is a small former coal-mining village in South Wales, situated in the Afan Valley and now known for its surrounding forestry and outdoor recreation.
-
E.
Llangurig
Llangurig is a small village in Powys, mid Wales, known as one of the highest villages in Wales and a junction point for several major roads.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f835108190b0709ccf3a487a96 |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae03256a6c81909885fc3618c9c009 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae04128e048190a6a36e528586445a |
completed | March 8, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae049b7b1c81908bae4acd269ce36e |
completed | March 8, 2026, 11:22 p.m. |
Created at: March 4, 2026, 7:36 p.m.