Triple

T14126754
Position Surface form Disambiguated ID Type / Status
Subject Øystre Slidre E340053 entity
Predicate contains P35 FINISHED
Object Hegge
Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
E1083360 NE FINISHED

How this triple was built (4 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: Hegge | Statement: [Øystre Slidre, contains, Hegge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hegge
Context triple: [Øystre Slidre, contains, Hegge]
  • A. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • B. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • C. Häger
    Häger is a surname and place name of Germanic origin that appears as a variant spelling of Hager.
  • D. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • E. Giske
    Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hegge
Triple: [Øystre Slidre, contains, Hegge]
Generated description
Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hegge
Target entity description: Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
  • A. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • B. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • C. Häger
    Häger is a surname and place name of Germanic origin that appears as a variant spelling of Hager.
  • D. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • E. Giske
    Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
  • F. None of above. chosen

Provenance (5 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e2b0248190ba40aa8395355052 completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd01330fb4819081dda9356739bbe3 completed May 7, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69fd019ffff881908a9e62df81058b17 completed May 7, 2026, 9:18 p.m.
Created at: April 9, 2026, 10:22 p.m.