Triple

T15360444
Position Surface form Disambiguated ID Type / Status
Subject Haram E367274 entity
Predicate containsSettlement P847 FINISHED
Object Eidsvik
Eidsvik is a small village located in the former municipality of Haram in Møre og Romsdal county, Norway.
E1230488 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: Eidsvik | Statement: [Haram, containsSettlement, Eidsvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidsvik
Context triple: [Haram, containsSettlement, Eidsvik]
  • A. Norddal
    Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
  • B. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • C. Eggum
    Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
  • D. Røyrvik
    Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
  • E. Røykenvik
    Røykenvik is a small village and former railway terminus located by Randsfjorden in Gran municipality in Innlandet county, 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: Eidsvik
Triple: [Haram, containsSettlement, Eidsvik]
Generated description
Eidsvik is a small village located in the former municipality of Haram in Møre og Romsdal county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eidsvik
Target entity description: Eidsvik is a small village located in the former municipality of Haram in Møre og Romsdal county, Norway.
  • A. Norddal
    Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
  • B. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • C. Eggum
    Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
  • D. Røyrvik
    Røyrvik is a small rural municipality in Trøndelag county, Norway, known for its mountainous landscapes, reindeer herding traditions, and proximity to Børgefjell National Park.
  • E. Røykenvik
    Røykenvik is a small village and former railway terminus located by Randsfjorden in Gran municipality in Innlandet county, 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d232074819083f58de3ee5fbf7d completed May 10, 2026, 2:58 p.m.
NEDg Description generation batch_6a009e1aa6548190b77def9f74d3272a completed May 10, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a009eb06d6481909914286301f9b4db completed May 10, 2026, 3:05 p.m.
Created at: April 10, 2026, 3:18 a.m.