Triple

T20018282
Position Surface form Disambiguated ID Type / Status
Subject Fræna E494779 entity
Predicate hasSettlement P1068 FINISHED
Object Sylte
Sylte is a small village in the former Fræna municipality in Møre og Romsdal county, Norway.
E1407186 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: Sylte | Statement: [Fræna, hasSettlement, Sylte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylte
Context triple: [Fræna, hasSettlement, Sylte]
  • A. Salka
    Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
  • B. Sandeen
    Sandeen is a surname most notably associated with Cathy A. Sandeen, an American academic administrator and university leader.
  • C. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • D. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • E. Ostrander
    Ostrander is a small city located in Fillmore County in southeastern Minnesota, United States.
  • 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: Sylte
Triple: [Fræna, hasSettlement, Sylte]
Generated description
Sylte is a small village in the former Fræna municipality in Møre og Romsdal county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sylte
Target entity description: Sylte is a small village in the former Fræna municipality in Møre og Romsdal county, Norway.
  • A. Salka
    Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
  • B. Sandeen
    Sandeen is a surname most notably associated with Cathy A. Sandeen, an American academic administrator and university leader.
  • C. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • D. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • E. Ostrander
    Ostrander is a small city located in Fillmore County in southeastern Minnesota, United States.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e286230819097e564d028e73ab5 completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080ef87f08819091b4a76009b1c4ba completed May 16, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_6a080f8bb81c819098d39ad6e1642aa8 completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:34 p.m.