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.