Triple

T16262718
Position Surface form Disambiguated ID Type / Status
Subject Nesodden E394792 entity
Predicate previouslyIn P122422 FINISHED
Object Akershus county NE NERFINISHED

How this triple was built (3 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: Akershus county | Statement: [Nesodden, previouslyIn, Akershus county]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akershus county
Context triple: [Nesodden, previouslyIn, Akershus county]
  • A. Akershus county chosen
    Akershus county was a former county in southeastern Norway that historically surrounded Oslo and included both urban suburbs and rural areas before being merged into Viken county.
  • B. Oslo county
    Oslo county is Norway’s capital county, encompassing the city of Oslo and serving as the country’s political, economic, and cultural center.
  • C. Hedmark
    Hedmark is a former county in eastern Norway known for its vast forests, agriculture, and inland landscapes along the Swedish border.
  • D. Hedmarken
    Hedmarken is a traditional district in Innlandet county in eastern Norway, known for its agricultural landscapes and its central town, Hamar.
  • E. Trøndelag County
    Trøndelag County is a large region in central Norway known for its historic city of Trondheim, coastal and fjord landscapes, and role as a cultural and economic hub of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyIn
Context triple: [Nesodden, previouslyIn, Akershus county]
  • A. previouslyRecordedBy
    Indicates that the subject was recorded or documented at an earlier time by the specified agent or source.
  • B. previouslyCoveredBy
    Indicates that something was earlier protected, enclosed, or overlaid by another object or material, but is no longer in that state.
  • C. previouslyObserved
    Indicates that the subject entity has been seen, recorded, or encountered at some earlier time prior to the current context.
  • D. previouslyOutside
    Indicates that an entity was located outside a specified area or boundary at some earlier time prior to the current reference point.
  • E. previouslyEstablished
    Indicates that the relationship or condition it connects has already been formed or confirmed at an earlier time before the current context.
  • F. None of above. chosen

Provenance (4 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69e219f259e88190bf49d8408c04178e completed April 17, 2026, 11:30 a.m.
PDg Predicate description generation batch_69e21e56e0348190a3d9475360231a70 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:04 a.m.