Triple

T24779243
Position Surface form Disambiguated ID Type / Status
Subject Fjord City E619945 entity
Predicate ownerOfLand P136567 FINISHED
Object Port of Oslo 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: Port of Oslo | Statement: [Fjord City, ownerOfLand, Port of Oslo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ownerOfLand
Context triple: [Fjord City, ownerOfLand, Port of Oslo]
  • A. ownedLandBy chosen
    Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
  • B. ownsLandFor
    Indicates that one entity possesses or holds ownership rights to land for the benefit, use, or purpose of another entity.
  • C. landholderIn
    Indicates that one entity holds legal or recognized ownership or tenancy rights over land located within the jurisdiction or bounds of another entity.
  • D. landTenure
    Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
  • E. majorLandowner
    Indicates that one entity owns a large or dominant portion of land in relation to another entity or area.
  • 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_69e2fabdbe8c8190adbb9434b8636cad completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 4:42 a.m.