Triple

T15092083
Position Surface form Disambiguated ID Type / Status
Subject Skaraborg County E360443 entity
Predicate contains P35 FINISHED
Object Hjo E1012566 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: Hjo | Statement: [Skaraborg County, contains, Hjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjo
Context triple: [Skaraborg County, contains, Hjo]
  • A. Hjo chosen
    Hjo is a small historic town in southern Sweden known for its well-preserved wooden architecture and lakeside location.
  • B. Hjelset
    Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • C. Høvelte
    Høvelte is a locality in Denmark known primarily for hosting a major Danish Army military barracks and training area.
  • D. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • E. Bruhagen
    Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal county, Norway.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.