Triple

T3257563
Position Surface form Disambiguated ID Type / Status
Subject Barrow-in-Furness E68332 entity
Predicate twinTown P1072 FINISHED
Object Östhammar E171719 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: Östhammar | Statement: [Barrow-in-Furness, twinTown, Östhammar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Östhammar
Context triple: [Barrow-in-Furness, twinTown, Östhammar]
  • A. Östhammar chosen
    Östhammar is a small coastal town and municipality in eastern Sweden known for its archipelago, historic wooden buildings, and proximity to the Forsmark nuclear power plant.
  • B. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • C. Mönsterås
    Mönsterås is a small coastal town and municipality in Kalmar County, southeastern Sweden, known for its Baltic Sea shoreline and traditional Swedish countryside.
  • D. Västerhaninge
    Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
  • E. Strängnäs
    Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6a46448190a7fa0ca83fa096f8 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed3a7908190bfab434a64af5f2f completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.