Triple

T16362943
Position Surface form Disambiguated ID Type / Status
Subject Göta älv E397361 entity
Predicate hasBridge P386 FINISHED
Object Angeredsbron E437721 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: Angeredsbron | Statement: [Göta älv, hasBridge, Angeredsbron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angeredsbron
Context triple: [Göta älv, hasBridge, Angeredsbron]
  • A. Bruhagen
    Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal county, Norway.
  • B. Baljåsen
    Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
  • C. Elisenbrunnen
    Elisenbrunnen is a historic neoclassical spa pavilion in Aachen, Germany, renowned for its sulfurous thermal springs and role as a symbol of the city’s spa culture.
  • D. Hisingsbron chosen
    Hisingsbron is a major vertical-lift bridge in Gothenburg, Sweden, connecting the mainland to the island of Hisingen across the Göta älv.
  • E. Skansemyren
    Skansemyren is a hillside area in Bergen, Norway, known for its residential neighborhoods and recreational facilities, including sports fields and access to hiking trails.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3aada88190a6e01f04c494a6ac completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.