Triple

T7770546
Position Surface form Disambiguated ID Type / Status
Subject Gävle E179056 entity
Predicate hasHarbor P3007 FINISHED
Object Port of Gävle E176289 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: Port of Gävle | Statement: [Gävle, hasHarbor, Port of Gävle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Gävle
Context triple: [Gävle, hasHarbor, Port of Gävle]
  • A. Port of Gävle chosen
    The Port of Gävle is a major Swedish seaport on the Baltic Sea that serves as an important hub for regional trade, cargo handling, and maritime transport.
  • B. 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.
  • C. Port of Kalmar
    The Port of Kalmar is a Swedish Baltic Sea harbor serving the city of Kalmar with facilities for cargo handling, passenger traffic, and regional maritime trade.
  • D. Port of Nynäshamn
    The Port of Nynäshamn is a major Swedish Baltic Sea port south of Stockholm, serving as an important hub for passenger ferries and freight traffic to Gotland and international destinations.
  • E. Port of Oskarshamn
    The Port of Oskarshamn is a Swedish Baltic Sea harbor and ferry terminal in Småland, serving as an important regional hub for passenger and cargo traffic.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70438ca2481909114b0c434717109 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d0f1988190b4df650bebb61fd3 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:11 p.m.