Triple

T21785045
Position Surface form Disambiguated ID Type / Status
Subject Gingelom E537813 entity
Predicate contains P35 FINISHED
Object Jeuk
Jeuk is a village in the municipality of Gingelom in the Belgian province of Limburg.
E1502620 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: Jeuk | Statement: [Gingelom, contains, Jeuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeuk
Context triple: [Gingelom, contains, Jeuk]
  • A. Juketau
    Juketau was a notable medieval settlement within the historical region of Volga Bulgaria, likely serving as a local center of trade or administration.
  • B. Jme
    Jme is a British grime MC, producer, and co-founder of the influential Boy Better Know collective.
  • C. Jelbi
    Jelbi is a mobility app by Berlin’s public transport operator that integrates various transport options like buses, trains, bikes, and scooters into a single platform for planning and booking trips.
  • D. Jukwa
    Jukwa is a town in Ghana that historically served as the capital of the Denkyira kingdom.
  • E. Jejueo
    Jejueo is a Koreanic language variety traditionally spoken on South Korea’s Jeju Island, recognized by many linguists as distinct from standard Korean.
  • 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: Jeuk
Triple: [Gingelom, contains, Jeuk]
Generated description
Jeuk is a village in the municipality of Gingelom in the Belgian province of Limburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeuk
Target entity description: Jeuk is a village in the municipality of Gingelom in the Belgian province of Limburg.
  • A. Juketau
    Juketau was a notable medieval settlement within the historical region of Volga Bulgaria, likely serving as a local center of trade or administration.
  • B. Jme
    Jme is a British grime MC, producer, and co-founder of the influential Boy Better Know collective.
  • C. Jelbi
    Jelbi is a mobility app by Berlin’s public transport operator that integrates various transport options like buses, trains, bikes, and scooters into a single platform for planning and booking trips.
  • D. Jukwa
    Jukwa is a town in Ghana that historically served as the capital of the Denkyira kingdom.
  • E. Jejueo
    Jejueo is a Koreanic language variety traditionally spoken on South Korea’s Jeju Island, recognized by many linguists as distinct from standard Korean.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e71399c8190b80ebe0870bbcda9 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f80ad2c8190bc9b8de10b37c826 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.