Triple

T13521558
Position Surface form Disambiguated ID Type / Status
Subject Ofoten E322908 entity
Predicate hasFjord P56784 FINISHED
Object Rombaken E179566 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: Rombaken | Statement: [Ofoten, hasFjord, Rombaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rombaken
Context triple: [Ofoten, hasFjord, Rombaken]
  • A. Rombaken chosen
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • B. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • C. Rokkaen
    Rokkaen is a historic Japanese garden and villa in Kuwana, Mie Prefecture, known for its traditional architecture and seasonal landscape views.
  • D. Rokkasen
    Rokkasen refers to the group of six celebrated classical Japanese waka poets of the early Heian period, renowned for their exemplary and influential verse.
  • E. Rollpanna
    Rollpanna is a character from the Japanese children's anime and manga series "Anpanman," known as a bread-themed heroine who sometimes struggles between good and evil due to her split personality.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549a215c8190a0b18c505d8ca504 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.