Triple

T15529039
Position Surface form Disambiguated ID Type / Status
Subject Strand E370161 entity
Predicate hasSettlement P1068 FINISHED
Object Idse
Idse is a small village in Strand municipality in Rogaland county, Norway, known for its scenic island setting and fjord landscape.
 E1162503 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: Idse | Statement: [Strand, hasSettlement, Idse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Idse
Context triple: [Strand, hasSettlement, Idse]
  • A. Eiden
    Eiden is a given name that functions as a variant spelling of the name Aidan.
  • B. Issel
    Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
  • C. Bavier
    Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
  • D. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • E. Idas
    Idas is a figure in Greek mythology known as a heroic but contentious suitor who abducted Marpessa and later became her husband.
  • 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: Idse
Triple: [Strand, hasSettlement, Idse]
Generated description
Idse is a small village in Strand municipality in Rogaland county, Norway, known for its scenic island setting and fjord landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Idse
Target entity description: Idse is a small village in Strand municipality in Rogaland county, Norway, known for its scenic island setting and fjord landscape.
  • A. Eiden
    Eiden is a given name that functions as a variant spelling of the name Aidan.
  • B. Issel
    Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
  • C. Bavier
    Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
  • D. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • E. Idas
    Idas is a figure in Greek mythology known as a heroic but contentious suitor who abducted Marpessa and later became her husband.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3ea7d5ac81908bd1ee64de39dba7 completed May 9, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff413a68488190a6c8907e36a602dc completed May 9, 2026, 2:14 p.m.
Created at: April 10, 2026, 4:05 a.m.