Triple

T21175383
Position Surface form Disambiguated ID Type / Status
Subject Port of Nynäshamn E521797 entity
Predicate operator P179 FINISHED
Object Stockholm Ports 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: Stockholm Ports | Statement: [Port of Nynäshamn, operator, Stockholm Ports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stockholm Ports
Context triple: [Port of Nynäshamn, operator, Stockholm Ports]
  • A. Port of Stockholm chosen
    The Port of Stockholm is a major Swedish seaport complex that serves as a key hub for passenger ferries, cruise ships, and cargo traffic in the Baltic Sea region.
  • B. Port of Södertälje
    The Port of Södertälje is a Swedish commercial and industrial seaport near Stockholm that handles cargo and shipping traffic via the Baltic Sea.
  • C. Port of Oxelösund
    The Port of Oxelösund is a major Swedish Baltic Sea port known for its deep-water facilities and significant role in handling bulk cargo, particularly for the steel industry.
  • D. Port of Malmö
    The Port of Malmö is a major Swedish seaport on the Øresund Strait that handles cargo, passenger traffic, and regional maritime trade for the city of Malmö.
  • E. Port of Halmstad
    The Port of Halmstad is a commercial seaport in Halmstad, Sweden, handling cargo, logistics, and maritime traffic along the country’s west coast.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271597288190b04baff9ca8d866c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.