Triple

T19507777
Position Surface form Disambiguated ID Type / Status
Subject Meråker E488069 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Midtbygda
Midtbygda is the main village and administrative center of the municipality of Meråker in Trøndelag county, Norway.
E1387255 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: [Meråker, hasAdministrativeCentre, Midtbygda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midtbygda
Context triple: [Meråker, hasAdministrativeCentre, Midtbygda]
  • A. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • B. Bjørheimsbygd
    Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • C. Asmaløy
    Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
  • D. Teigebyen
    Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
  • E. Vassbygda
    Vassbygda is a small village in the former Agdenes municipality in Trøndelag county, central Norway.
  • 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: [Meråker, hasAdministrativeCentre, Midtbygda]
Generated description
Midtbygda is the main village and administrative center of the municipality of Meråker in Trøndelag county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Midtbygda
Target entity description: Midtbygda is the main village and administrative center of the municipality of Meråker in Trøndelag county, Norway.
  • A. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • B. Bjørheimsbygd
    Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • C. Asmaløy
    Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
  • D. Teigebyen
    Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
  • E. Vassbygda
    Vassbygda is a small village in the former Agdenes municipality in Trøndelag county, central Norway.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635130e708190bb3d70e1abbade2a completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07719e60a48190bf4c54af72900b87 completed May 15, 2026, 7:18 p.m.
NEDg Description generation batch_6a07780c685881909b3926b75baa01f2 completed May 15, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0778c1cfb881909ab613cd4e125120 completed May 15, 2026, 7:49 p.m.
Created at: April 10, 2026, 1:40 p.m.