Triple

T12589128
Position Surface form Disambiguated ID Type / Status
Subject Skåne County E300551 entity
Predicate hasNotablePort P6498 FINISHED
Object Trelleborg E394800 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: Trelleborg | Statement: [Skåne County, hasNotablePort, Trelleborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trelleborg
Context triple: [Skåne County, hasNotablePort, Trelleborg]
  • A. Trelleborg chosen
    Trelleborg is a coastal town in southern Sweden known as an important ferry port and transport hub near the country’s southernmost point.
  • B. Norbrook
    Norbrook is an upscale residential and commercial neighborhood located in the parish of St. Andrew in Jamaica.
  • C. Stenstorp
    Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
  • D. Höganäs
    Höganäs is a coastal town and municipality in Skåne County in southern Sweden, known for its ceramics industry and scenic location by the Öresund Strait.
  • E. Borghorst
    Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668656d5c819098f9824febf79712 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:06 p.m.