Triple

T10912251
Position Surface form Disambiguated ID Type / Status
Subject Llangollen Railway E257728 entity
Predicate nearbyTown P3883 FINISHED
Object Llangollen E412030 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: Llangollen | Statement: [Llangollen Railway, nearbyTown, Llangollen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llangollen
Context triple: [Llangollen Railway, nearbyTown, Llangollen]
  • A. Llangollen chosen
    Llangollen is a picturesque town in northeast Wales known for its scenic River Dee setting, historic bridge and abbey, and the annual Llangollen International Musical Eisteddfod.
  • B. Llangennith
    Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
  • C. Llanwern
    Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
  • D. 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.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4acc9d60c819084e342076fe682fc completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:22 p.m.