Triple

T5262084
Position Surface form Disambiguated ID Type / Status
Subject La Louvière E118848 entity
Predicate contains P35 FINISHED
Object Haine-Saint-Paul
Haine-Saint-Paul is a district or neighborhood within the city of La Louvière in the province of Hainaut, Belgium.
 E508272 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: Haine-Saint-Paul | Statement: [La Louvière, contains, Haine-Saint-Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haine-Saint-Paul
Context triple: [La Louvière, contains, Haine-Saint-Paul]
  • A. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • B. Blainville
    Blainville is a suburban town in southwestern Quebec, Canada, known for its residential communities and proximity to the Greater Montreal area.
  • C. Trois-Ponts
    Trois-Ponts is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic Ardennes landscape and railway junction.
  • D. Plessis-l'Évêque
    Plessis-l'Évêque is a small French commune located in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • E. Butte-aux-Cailles
    Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
  • 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: Haine-Saint-Paul
Triple: [La Louvière, contains, Haine-Saint-Paul]
Generated description
Haine-Saint-Paul is a district or neighborhood within the city of La Louvière in the province of Hainaut, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haine-Saint-Paul
Target entity description: Haine-Saint-Paul is a district or neighborhood within the city of La Louvière in the province of Hainaut, Belgium.
  • A. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • B. Blainville
    Blainville is a suburban town in southwestern Quebec, Canada, known for its residential communities and proximity to the Greater Montreal area.
  • C. Trois-Ponts
    Trois-Ponts is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic Ardennes landscape and railway junction.
  • D. Plessis-l'Évêque
    Plessis-l'Évêque is a small French commune located in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • E. Butte-aux-Cailles
    Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd0c5f48190a1be89314c59f96b completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c3945c8190874ecd184fa886a0 completed March 21, 2026, 8:59 p.m.
NEDg Description generation batch_69bf086047f48190a48c3f3a6421370d completed March 21, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_69bf08b2fd8081909b8b930818a00b9d completed March 21, 2026, 9:08 p.m.
Created at: March 20, 2026, 1:50 p.m.