Triple

T13084652
Position Surface form Disambiguated ID Type / Status
Subject Essingeleden E310298 entity
Predicate hasJunction P1018 FINISHED
Object Alvik E379961 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: Alvik | Statement: [Essingeleden, hasJunction, Alvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvik
Context triple: [Essingeleden, hasJunction, Alvik]
  • A. Alvik chosen
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • B. Arvegil
    Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
  • C. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • D. Aulnat
    Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
  • E. Arkel
    Arkel is the elderly, blind King of Allemonde in Claude Debussy’s opera "Pelléas et Mélisande," embodying wisdom and tragic resignation amid the drama’s unfolding passions.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:02 p.m.