Triple

T4933113
Position Surface form Disambiguated ID Type / Status
Subject Isabella of Hainaut E110743 entity
Predicate marriagePlace P128 FINISHED
Object Bapaume
Bapaume is a small historic town in northern France, known for its medieval heritage and its strategic role in several major European conflicts.
E487348 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: Bapaume | Statement: [Isabella of Hainaut, marriagePlace, Bapaume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bapaume
Context triple: [Isabella of Hainaut, marriagePlace, Bapaume]
  • A. Flémalle
    Flémalle is a municipality in eastern Belgium known for its industrial heritage and location along the Meuse River in the province of Liège.
  • B. Mouvaux
    Mouvaux is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • C. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • D. Mons-en-Pévèle
    Mons-en-Pévèle is a renowned cobbled climb in northern France that serves as one of the most challenging and decisive sectors in the Paris–Roubaix cycling race.
  • E. Allonnes
    Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
  • 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: Bapaume
Triple: [Isabella of Hainaut, marriagePlace, Bapaume]
Generated description
Bapaume is a small historic town in northern France, known for its medieval heritage and its strategic role in several major European conflicts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bapaume
Target entity description: Bapaume is a small historic town in northern France, known for its medieval heritage and its strategic role in several major European conflicts.
  • A. Flémalle
    Flémalle is a municipality in eastern Belgium known for its industrial heritage and location along the Meuse River in the province of Liège.
  • B. Mouvaux
    Mouvaux is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • C. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • D. Mons-en-Pévèle
    Mons-en-Pévèle is a renowned cobbled climb in northern France that serves as one of the most challenging and decisive sectors in the Paris–Roubaix cycling race.
  • E. Allonnes
    Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70652d988190ba4a493db510952e completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be923eac848190b8511b8027c87ff3 completed March 21, 2026, 12:42 p.m.
NEDg Description generation batch_69be9639133881909031942616b51abc completed March 21, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69be968b79bc81909b532eddb3a8da42 completed March 21, 2026, 1 p.m.
Created at: March 20, 2026, 1:30 p.m.