Triple

T10591987
Position Surface form Disambiguated ID Type / Status
Subject Llanbedr Airfield E250013 entity
Predicate locatedIn P40 FINISHED
Object Llanbedr E50615 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: Llanbedr | Statement: [Llanbedr Airfield, locatedIn, Llanbedr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llanbedr
Context triple: [Llanbedr Airfield, locatedIn, Llanbedr]
  • A. Llanbedr chosen
    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.
  • B. Brycheiniog
    Brycheiniog was an early medieval Welsh kingdom located in what is now Brecknockshire in south-central Wales.
  • 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. Llanwern
    Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277c79808190acc872919eadd126 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f12f646ec88190ab4745c52798b599 completed April 28, 2026, 10:06 p.m.
Created at: April 6, 2026, 12:40 p.m.