Triple

T15529327
Position Surface form Disambiguated ID Type / Status
Subject Fedje E370168 entity
Predicate hasDemonym P191 FINISHED
Object Fedjing
A Fedjing is a resident or native of Fedje, an island municipality in western Norway.
 E1162527 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: Fedjing | Statement: [Fedje, hasDemonym, Fedjing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fedjing
Context triple: [Fedje, hasDemonym, Fedjing]
  • A. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • B. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • C. Bejae
    Bejae is an ancient name historically associated with the Beja people of northeastern Africa, reflecting their early cultural and regional identity.
  • D. Bandikui
    Bandikui is a railway junction town in Rajasthan, India, historically significant as one of the earliest and most important railway hubs in the region.
  • E. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • 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: Fedjing
Triple: [Fedje, hasDemonym, Fedjing]
Generated description
A Fedjing is a resident or native of Fedje, an island municipality in western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fedjing
Target entity description: A Fedjing is a resident or native of Fedje, an island municipality in western Norway.
  • A. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • B. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • C. Bejae
    Bejae is an ancient name historically associated with the Beja people of northeastern Africa, reflecting their early cultural and regional identity.
  • D. Bandikui
    Bandikui is a railway junction town in Rajasthan, India, historically significant as one of the earliest and most important railway hubs in the region.
  • E. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • 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.