Triple

T17032247
Position Surface form Disambiguated ID Type / Status
Subject Port of Turku E413226 entity
Predicate officialName P66 FINISHED
Object Turun satama E413226 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: Turun satama | Statement: [Port of Turku, officialName, Turun satama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turun satama
Context triple: [Port of Turku, officialName, Turun satama]
  • A. Port of Turku chosen
    The Port of Turku is a major Finnish seaport on the Baltic Sea that serves as an important hub for passenger ferries and cargo traffic between Finland and other Northern European countries.
  • B. Port of Pori
    The Port of Pori is a significant Finnish seaport on the west coast that serves as an important hub for the country’s maritime trade and cargo traffic.
  • C. Port of Kokkola
    The Port of Kokkola is a major Finnish seaport on the Gulf of Bothnia that serves as an important hub for bulk cargo, industry, and international trade.
  • D. Port of Rauma
    The Port of Rauma is a key Finnish seaport on the country’s west coast, serving as an important hub for international cargo traffic and maritime trade.
  • E. Naantali
    Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8ed79448190a750a29a99913fda completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5748bc8190832737a70219e7a1 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.