Triple

T3968784
Position Surface form Disambiguated ID Type / Status
Subject City and County of Swansea E92278 entity
Predicate contains P35 FINISHED
Object Llangennith E119195 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: Llangennith | Statement: [City and County of Swansea, contains, Llangennith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llangennith
Context triple: [City and County of Swansea, contains, Llangennith]
  • A. Llangennith chosen
    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. Llanymynech
    Llanymynech is a village on the England–Wales border known for its historic limestone quarrying and canal heritage.
  • 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. Llangefni
    Llangefni is a small market town on the island of Anglesey in Wales, known for serving as the island’s administrative centre.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef992d6bc8190be1b244eb87f2964 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d60ae3c8190aea53073a37d0c07 completed March 21, 2026, 7:48 a.m.
Created at: March 9, 2026, 3:32 p.m.