Triple

T1300125
Position Surface form Disambiguated ID Type / Status
Subject Södermanland County E27742 entity
Predicate contains P35 FINISHED
Object Trosa E144394 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: Trosa | Statement: [Södermanland County, contains, Trosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trosa
Context triple: [Södermanland County, contains, Trosa]
  • A. Grimstad
    Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
  • B. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • C. Trosa Municipality chosen
    Trosa Municipality is a coastal municipality in Södermanland County, Sweden, known for its small-town charm, archipelago landscape, and the historic town of Trosa.
  • D. Sandefjord
    Sandefjord is a coastal town and municipality in southern Norway known for its maritime heritage, whaling history, and popular seaside attractions.
  • E. Nordfjordeid
    Nordfjordeid is a village in western Norway known as a regional center in Nordfjord and the birthplace of mathematician Sophus Lie.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c11314a48190ab4efb8b1acdce50 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad607ead308190a599fac02c91e77e completed March 8, 2026, 11:41 a.m.
Created at: March 1, 2026, 7:51 p.m.