Triple

T3579193
Position Surface form Disambiguated ID Type / Status
Subject Molde E75759 entity
Predicate hasIsland P970 FINISHED
Object Reknes
Reknes is a small island located near the town of Molde on Norway’s western coast.
E370151 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: Reknes | Statement: [Molde, hasIsland, Reknes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reknes
Context triple: [Molde, hasIsland, Reknes]
  • A. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • B. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • C. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • D. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • E. Bruhagen
    Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal 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: Reknes
Triple: [Molde, hasIsland, Reknes]
Generated description
Reknes is a small island located near the town of Molde on Norway’s western coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reknes
Target entity description: Reknes is a small island located near the town of Molde on Norway’s western coast.
  • A. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • B. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • C. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • D. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • E. Bruhagen
    Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0defe14819095a337a840e33300 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc6bc948190a517639f5d79c0a3 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bc93f93c8190a23301340b08d76b completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f8033cd481909bc0e24fd9d86831 completed March 13, 2026, 11:41 a.m.
Created at: March 8, 2026, 3:21 p.m.