Triple

T19650582
Position Surface form Disambiguated ID Type / Status
Subject Pskov E471802 entity
Predicate hasPart P35 FINISHED
Object Dovmont Town NE NERFINISHED

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: Dovmont Town | Statement: [Pskov, hasPart, Dovmont Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dovmont Town
Context triple: [Pskov, hasPart, Dovmont Town]
  • A. Dovmont Town chosen
    Dovmont Town is a historic fortified area adjacent to the Pskov Kremlin in Russia, known for its medieval churches and archaeological remains.
  • B. Warley Town
    Warley Town is a small village in Calderdale, West Yorkshire, England, known for its hillside setting above Halifax and traditional stone-built houses.
  • C. Doveton
    Doveton is a residential suburb in Melbourne, Victoria, Australia, known for its diverse community and proximity to major urban centers in the city's southeast.
  • D. Monkton
    Monkton is a small village in South Ayrshire, Scotland, situated near Prestwick and close to the west coast.
  • E. Mottingham
    Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641286bbc8190886f309de13063bf completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.