Triple

T13418180
Position Surface form Disambiguated ID Type / Status
Subject Svolvær Airport Helle E313267 entity
Predicate namedAfter P63 FINISHED
Object Helle E660127 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: Helle | Statement: [Svolvær Airport Helle, namedAfter, Helle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helle
Context triple: [Svolvær Airport Helle, namedAfter, Helle]
  • A. Helle
    Helle is a figure from Greek mythology, known as the daughter of Athamas who fell into the sea during her flight on the golden ram, giving her name to the Hellespont.
  • B. Helle chosen
    Helle is a small river in eastern Belgium that serves as a left-bank tributary of the Vesdre.
  • C. Hyllus
    Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
  • D. Helietta
    Helietta is a small genus of flowering plants in the citrus family Rutaceae, comprising mostly Neotropical trees and shrubs known for their aromatic properties.
  • E. Hollein
    Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb8416c8190a00dde0917c26f51 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73082a2548190aefc0f202b84165c completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.