Triple

T21785123
Position Surface form Disambiguated ID Type / Status
Subject Kortessem E537815 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Guigoven
Guigoven is a village in the Belgian province of Limburg that forms one of the municipal sections of Kortessem.
E1502641 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: Guigoven | Statement: [Kortessem, hasMunicipalSection, Guigoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guigoven
Context triple: [Kortessem, hasMunicipalSection, Guigoven]
  • A. Guingouin
    Guingouin is the surname of Georges Guingouin, a notable French Resistance leader and political figure during World War II.
  • B. Goulier
    Goulier is a small mountain village in the Ariège department of southwestern France, known for its scenic Pyrenean setting and outdoor activities.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • E. Léguer
    The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
  • 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: Guigoven
Triple: [Kortessem, hasMunicipalSection, Guigoven]
Generated description
Guigoven is a village in the Belgian province of Limburg that forms one of the municipal sections of Kortessem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guigoven
Target entity description: Guigoven is a village in the Belgian province of Limburg that forms one of the municipal sections of Kortessem.
  • A. Guingouin
    Guingouin is the surname of Georges Guingouin, a notable French Resistance leader and political figure during World War II.
  • B. Goulier
    Goulier is a small mountain village in the Ariège department of southwestern France, known for its scenic Pyrenean setting and outdoor activities.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • E. Léguer
    The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
  • 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.