Triple

T6368692
Position Surface form Disambiguated ID Type / Status
Subject Nynäshamn harbour E143290 entity
Predicate hasLocalName P6353 FINISHED
Object Nynäshamns hamn E143290 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: Nynäshamns hamn | Statement: [Nynäshamn harbour, hasLocalName, Nynäshamns hamn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nynäshamns hamn
Context triple: [Nynäshamn harbour, hasLocalName, Nynäshamns hamn]
  • A. Nynäshamn harbour chosen
    Nynäshamn harbour is a major Swedish port on the Baltic Sea, serving passenger ferries, cruise ships, and cargo traffic south of Stockholm.
  • 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. Värtahamnen
    Värtahamnen is a major port and harbor area in Stockholm, Sweden, serving as an important hub for ferry, cargo, and cruise traffic in the Baltic Sea region.
  • D. Borgholm harbor
    Borgholm harbor is a small coastal port and marina serving the town of Borgholm on the Swedish island of Öland, known for leisure boating and tourism.
  • E. Hasle harbor
    Hasle harbor is a small coastal port and marina in the town of Hasle on the Danish island of Bornholm, serving fishing, leisure boating, and local tourism.
  • 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_69c6386f361c819098dbe01b0cb07b06 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:32 p.m.