Triple

T29530625
Position Surface form Disambiguated ID Type / Status
Subject Germany–Scandinavia E749190 entity
Predicate hasKeyPortInGermany P104217 FINISHED
Object Kiel 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: Kiel | Statement: [Germany–Scandinavia, hasKeyPortInGermany, Kiel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyPortInGermany
Context triple: [Germany–Scandinavia, hasKeyPortInGermany, Kiel]
  • A. locatedInPartOfGermany
    Indicates that one entity is geographically situated within a specific region or part of Germany.
  • B. hasKeyPort chosen
    Indicates that an entity possesses or is associated with a primary or main port used for connection, access, or communication.
  • C. containsGermanSpeakingArea
    Indicates that one entity geographically includes an area where German is predominantly spoken.
  • D. hasNearbyPortCountry
    Indicates that one entity is a country that has a seaport located geographically close to the other entity.
  • E. isBalticPortRegion
    Indicates that a region functions as a port area located on or directly connected to the Baltic Sea.
  • F. None of above.

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_69f0bd46d99c81908ba9d01cc1dbef7d completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f7117e55908190a67105e92bc4830f completed May 3, 2026, 9:12 a.m.
PD Predicate disambiguation batch_69f70f380690819090cc34763ba460ed completed May 3, 2026, 9:02 a.m.
Created at: April 28, 2026, 4:52 p.m.