Triple

T13084654
Position Surface form Disambiguated ID Type / Status
Subject Essingeleden E310298 entity
Predicate hasJunction P1018 FINISHED
Object Tomteboda E112527 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: Tomteboda | Statement: [Essingeleden, hasJunction, Tomteboda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomteboda
Context triple: [Essingeleden, hasJunction, Tomteboda]
  • A. Borgheim
    Borgheim is a village in Vestfold, Norway, known primarily as the central hub of local government and services for the island municipality of Nøtterøy.
  • B. Ursvik chosen
    Ursvik is a residential district and urban area within the Stockholm region of Sweden, known for its mix of modern housing developments and proximity to green spaces.
  • C. Odda
    Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
  • D. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • E. Bristelmestune
    Bristelmestune is the early recorded medieval name for the English coastal town later known as Brighthelmstone and now as Brighton.
  • 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.