Triple

T6368658
Position Surface form Disambiguated ID Type / Status
Subject Nynäshamn harbour E143290 entity
Predicate locatedIn P40 FINISHED
Object Nynäshamn E26193 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: Nynäshamn | Statement: [Nynäshamn harbour, locatedIn, Nynäshamn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nynäshamn
Context triple: [Nynäshamn harbour, locatedIn, Nynäshamn]
  • A. Fredrikshamn
    Fredrikshamn (Hamina) is a coastal town in southeastern Finland that historically served as an important military and trading center.
  • B. Kristinehamn
    Kristinehamn is a small Swedish town in Värmland County known for its lakeside location on Vänern and its historical role as a regional trading and industrial center.
  • C. Nykvarn
    Nykvarn is a small locality in eastern Sweden that serves as the administrative and population center of Nykvarn Municipality in Stockholm County.
  • D. Nynäshamn harbour
    Nynäshamn harbour is a major Swedish port on the Baltic Sea, serving passenger ferries, cruise ships, and cargo traffic south of Stockholm.
  • E. Nynäshamn Municipality chosen
    Nynäshamn Municipality is a coastal municipality in eastern Sweden known for its ferry connections to Gotland and the Baltic states, as well as its scenic archipelago landscapes.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068265a7481908571be7ea4ac11b7 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8689408190b334928df870ed29 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:32 p.m.