Triple

T9262277
Position Surface form Disambiguated ID Type / Status
Subject Llangefni E222606 entity
Predicate hasEnglishName P3437 FINISHED
Object Llangefni E222606 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: Llangefni | Statement: [Llangefni, hasEnglishName, Llangefni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llangefni
Context triple: [Llangefni, hasEnglishName, Llangefni]
  • A. Llangefni chosen
    Llangefni is a small market town on the island of Anglesey in Wales, known for serving as the island’s administrative centre.
  • B. Llangennith
    Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
  • C. 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.
  • D. Llangennech
    Llangennech is a village in Carmarthenshire, Wales, situated near the Loughor estuary and known for its historic links to coal mining and the Llanelli area.
  • E. Llangynwyd
    Llangynwyd is a historic village and community in Bridgend County Borough, Wales, known for its medieval church and traditional Welsh cultural 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07189bc48190987315bd5d3ce4f1 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c736ccd8819081d2c5a6be11ac36 completed April 4, 2026, 8:09 a.m.
Created at: March 30, 2026, 7:32 p.m.