Triple

T19579927
Position Surface form Disambiguated ID Type / Status
Subject Skien Church E489958 entity
Predicate isInCityCentre P25976 FINISHED
Object Skien city centre NE NERFINISHED

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: Skien city centre | Statement: [Skien Church, isInCityCentre, Skien city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skien city centre
Context triple: [Skien Church, isInCityCentre, Skien city centre]
  • A. Skien city hall
    Skien city hall is the main administrative and political center of the city of Skien, Norway, housing the municipal government and its key offices.
  • B. Skien prosti
    Skien prosti is an ecclesiastical deanery in the Church of Norway that oversees a group of parishes in and around the city of Skien.
  • C. Skien chosen
    Skien is a historic city in southern Norway known as the birthplace of playwright Henrik Ibsen and as a regional commercial and industrial center.
  • D. Skien Municipality
    Skien Municipality is a local government area in Vestfold og Telemark county, Norway, encompassing the city of Skien and its surrounding communities.
  • E. Steinkjer
    Steinkjer is a town and municipality in central Norway that serves as an important regional center and administrative hub in Trøndelag county.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.