Triple

T19560630
Position Surface form Disambiguated ID Type / Status
Subject Røyken E489438 entity
Predicate formerAdministrativeCentre P23608 FINISHED
Object Midtbygda
Midtbygda is a village in Norway that historically functioned as the central hub for local governance and services in the former municipality of Røyken.
E1389066 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: Midtbygda | Statement: [Røyken, formerAdministrativeCentre, Midtbygda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midtbygda
Context triple: [Røyken, formerAdministrativeCentre, Midtbygda]
  • A. Midtbygda
    Midtbygda is the main village and administrative center of the municipality of Meråker in Trøndelag county, Norway.
  • B. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • C. Bjørheimsbygd
    Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • D. Asmaløy
    Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
  • E. Teigebyen
    Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
  • 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: Midtbygda
Triple: [Røyken, formerAdministrativeCentre, Midtbygda]
Generated description
Midtbygda is a village in Norway that historically functioned as the central hub for local governance and services in the former municipality of Røyken.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Midtbygda
Target entity description: Midtbygda is a village in Norway that historically functioned as the central hub for local governance and services in the former municipality of Røyken.
  • A. Midtbygda
    Midtbygda is the main village and administrative center of the municipality of Meråker in Trøndelag county, Norway.
  • B. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • C. Bjørheimsbygd
    Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • D. Asmaløy
    Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
  • E. Teigebyen
    Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f7442e08190ad030151ec0a97d4 completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787a9e2048190b897972ba37189be completed May 15, 2026, 8:52 p.m.
NEDg Description generation batch_6a078869d02081908f392cc2467aff54 completed May 15, 2026, 8:56 p.m.
NED2 Entity disambiguation (via description) batch_6a07895b1a448190ad741de9e7a727b8 completed May 15, 2026, 9 p.m.
Created at: April 10, 2026, 1:42 p.m.