Triple

T14028575
Position Surface form Disambiguated ID Type / Status
Subject Sør-Fron E337527 entity
Predicate administrativeCentre P1474 FINISHED
Object Hundorp E1074838 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: Hundorp | Statement: [Sør-Fron, administrativeCentre, Hundorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hundorp
Context triple: [Sør-Fron, administrativeCentre, Hundorp]
  • A. Hundorp chosen
    Hundorp is a village in Innlandet county, Norway, known as an administrative and historical center in the Gudbrandsdalen valley.
  • B. Werthhoven
    Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Heerdt
    Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
  • D. Hodenhagen
    Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
  • E. Hulten
    Hulten is a small village in the Dutch province of North Brabant, located within the municipality of Gilze en Rijen.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb657ab348190ab51ec0e8caa2c4f completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.