Triple

T15360234
Position Surface form Disambiguated ID Type / Status
Subject Giske E367269 entity
Predicate hasIsland P970 FINISHED
Object Vigra
Vigra is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes, beaches, and the Ålesund Airport located there.
 E1153637 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: Vigra | Statement: [Giske, hasIsland, Vigra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vigra
Context triple: [Giske, hasIsland, Vigra]
  • A. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • B. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • C. Garia
    Garia is a traditional tribal deity venerated in parts of Northeast India, particularly among the Tripuri people, as a god associated with prosperity, fertility, and protection.
  • D. Vianí
    Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
  • E. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • 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: Vigra
Triple: [Giske, hasIsland, Vigra]
Generated description
Vigra is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes, beaches, and the Ålesund Airport located there.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vigra
Target entity description: Vigra is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes, beaches, and the Ålesund Airport located there.
  • A. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • B. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • C. Garia
    Garia is a traditional tribal deity venerated in parts of Northeast India, particularly among the Tripuri people, as a god associated with prosperity, fertility, and protection.
  • D. Vianí
    Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
  • E. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • 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_69ff0b4a181c8190bffc1ac1a86e215d completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0f82441c81909a8ae13817fd3e96 completed May 9, 2026, 10:42 a.m.
NED2 Entity disambiguation (via description) batch_69ff0fd586708190a54b33efd27d84b2 completed May 9, 2026, 10:43 a.m.
Created at: April 10, 2026, 3:18 a.m.