Triple

T8920248
Position Surface form Disambiguated ID Type / Status
Subject Carterton E212394 entity
Predicate hasNearbyTown P3883 FINISHED
Object Lechlade E345956 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: Lechlade | Statement: [Carterton, hasNearbyTown, Lechlade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lechlade
Context triple: [Carterton, hasNearbyTown, Lechlade]
  • A. Lechlade chosen
    Lechlade is a small riverside town in Gloucestershire, England, known for its picturesque setting on the River Thames near its upper reaches.
  • B. České Velenice
    České Velenice is a town in the South Bohemian Region of the Czech Republic known for its strategic railway junction and position directly opposite the Austrian town of Gmünd on the Czech–Austrian border.
  • C. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • D. Lechovo
    Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
  • E. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc664f099c8190be6d20a4574212ca completed April 1, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4f094c81909a30d3be640ac9e0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.