Triple

T11178086
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Huy E264463 entity
Predicate hasPart P35 FINISHED
Object Anthisnes
Anthisnes is a municipality in the province of Liège in Wallonia, Belgium.
E911531 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: Anthisnes | Statement: [Arrondissement of Huy, hasPart, Anthisnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthisnes
Context triple: [Arrondissement of Huy, hasPart, Anthisnes]
  • A. Comines
    Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
  • B. Gouvieux
    Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
  • C. Sarreguemines
    Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
  • D. Rocourt
    Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • E. Pétange
    Pétange is a commune in southwestern Luxembourg known for its proximity to the borders with Belgium and France and its role as a local transport and industrial hub.
  • 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: Anthisnes
Triple: [Arrondissement of Huy, hasPart, Anthisnes]
Generated description
Anthisnes is a municipality in the province of Liège in Wallonia, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anthisnes
Target entity description: Anthisnes is a municipality in the province of Liège in Wallonia, Belgium.
  • A. Comines
    Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
  • B. Gouvieux
    Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
  • C. Sarreguemines
    Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
  • D. Rocourt
    Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • E. Pétange
    Pétange is a commune in southwestern Luxembourg known for its proximity to the borders with Belgium and France and its role as a local transport and industrial hub.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e899c6288190b39e090fa9cdc883 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496e47f688190b2e8bc71605f9db3 completed April 19, 2026, 8:48 a.m.
NEDg Description generation batch_69e49c09844881908e0d95ba3f239024 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e7f8b108190bb69f532adf25809 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:29 p.m.