Triple

T15618239
Position Surface form Disambiguated ID Type / Status
Subject Stryn E375474 entity
Predicate hasPart P35 FINISHED
Object Blakset
Blakset is a small village in the municipality of Stryn in Vestland county, western Norway.
E1166422 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: Blakset | Statement: [Stryn, hasPart, Blakset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blakset
Context triple: [Stryn, hasPart, Blakset]
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Hjelset
    Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • C. Bleik
    Bleik is a small coastal village on the island of Andøya in northern Norway, known for its long sandy beach and proximity to rich seabird colonies.
  • D. Blaak
    Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
  • E. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern 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: Blakset
Triple: [Stryn, hasPart, Blakset]
Generated description
Blakset is a small village in the municipality of Stryn in Vestland county, western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blakset
Target entity description: Blakset is a small village in the municipality of Stryn in Vestland county, western Norway.
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Hjelset
    Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
  • C. Bleik
    Bleik is a small coastal village on the island of Andøya in northern Norway, known for its long sandy beach and proximity to rich seabird colonies.
  • D. Blaak
    Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
  • E. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56def20881909f835dd44ab9ac2b completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff578dc9dc8190ae0b1abcd74a6346 completed May 9, 2026, 3:49 p.m.
NED2 Entity disambiguation (via description) batch_69ff586ce89081909ebc1779bb9c4221 completed May 9, 2026, 3:53 p.m.
Created at: April 10, 2026, 4:13 a.m.