Triple

T18597614
Position Surface form Disambiguated ID Type / Status
Subject Politiken E454532 entity
Predicate hasNotableSupplement P20051 FINISHED
Object IBYEN
IBYEN is a lifestyle and city-focused supplement to the Danish newspaper Politiken, covering urban culture, events, and everyday life.
E1333051 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: IBYEN | Statement: [Politiken, hasNotableSupplement, IBYEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBYEN
Context triple: [Politiken, hasNotableSupplement, IBYEN]
  • A. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • B. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • C. Ibani
    The Ibani are a Niger Delta ethnic group of Nigeria, historically known as riverine traders and influential participants in the coastal commerce of the Bonny area.
  • D. IBED
    IBED is a research institute focused on studying biodiversity, ecosystem processes, and environmental change.
  • E. Iyadaniji
    Iyadaniji is a Buddhist temple in Japan, known as Temple 71 on the Shikoku Pilgrimage route.
  • 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: IBYEN
Triple: [Politiken, hasNotableSupplement, IBYEN]
Generated description
IBYEN is a lifestyle and city-focused supplement to the Danish newspaper Politiken, covering urban culture, events, and everyday life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IBYEN
Target entity description: IBYEN is a lifestyle and city-focused supplement to the Danish newspaper Politiken, covering urban culture, events, and everyday life.
  • A. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • B. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • C. Ibani
    The Ibani are a Niger Delta ethnic group of Nigeria, historically known as riverine traders and influential participants in the coastal commerce of the Bonny area.
  • D. IBED
    IBED is a research institute focused on studying biodiversity, ecosystem processes, and environmental change.
  • E. Iyadaniji
    Iyadaniji is a Buddhist temple in Japan, known as Temple 71 on the Shikoku Pilgrimage route.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474d934481909b4afd5ef9031c73 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05037eda788190977fcb50aa4d2357 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504cd76388190b67c78250297573d completed May 13, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0505482c588190952fe07726f64b93 completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:44 a.m.