Triple

T4164138
Position Surface form Disambiguated ID Type / Status
Subject NP44 E84400 entity
Predicate covers P1393 FINISHED
Object Llantarnam E142570 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: Llantarnam | Statement: [NP44, covers, Llantarnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llantarnam
Context triple: [NP44, covers, Llantarnam]
  • A. Llantarnam chosen
    Llantarnam is a residential suburb and historic area within the town of Cwmbran in South Wales.
  • B. Llanelltyd
    Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
  • 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. Llanegryn
    Llanegryn is a small village in Gwynedd, Wales, situated in the Dysynni Valley near the coastal town of Tywyn.
  • E. Lintrathen
    Lintrathen is a small rural village in eastern Scotland, known for its scenic surroundings near Lintrathen Loch in the Angus region.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a9bf348190b99cecd19fe65779 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69be921df91881909c257fbd3c46073c completed March 21, 2026, 12:42 p.m.
Created at: March 9, 2026, 3:44 p.m.