Triple

T2678613
Position Surface form Disambiguated ID Type / Status
Subject Battle of Seneffe E56519 entity
Predicate location P40 FINISHED
Object Seneffe
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
 E342067 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: Seneffe | Statement: [Battle of Seneffe, location, Seneffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seneffe
Context triple: [Battle of Seneffe, location, Seneffe]
  • A. Fougères
    Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
  • B. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • C. Saverne
    Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
  • D. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • E. Mont-Saint-Martin
    Mont-Saint-Martin is a commune in northeastern France notable for lying at the junction of the French, Belgian, and Luxembourgish borders.
  • 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: Seneffe
Triple: [Battle of Seneffe, location, Seneffe]
Generated description
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seneffe
Target entity description: Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
  • A. Fougères
    Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
  • B. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • C. Saverne
    Saverne is a historic town in northeastern France, known for its canal, rose gardens, and the Château des Rohan.
  • D. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • E. Mont-Saint-Martin
    Mont-Saint-Martin is a commune in northeastern France notable for lying at the junction of the French, Belgian, and Luxembourgish borders.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d141888190bbd63e7a2b970fa0 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69b28db1ddec8190a6d346afc79cfd8e completed March 12, 2026, 9:56 a.m.
NEDg Description generation batch_69b28f6d8a948190b9aac1b90de472d6 completed March 12, 2026, 10:03 a.m.
NED2 Entity disambiguation (via description) batch_69b2c08b196881908e72596d54ab8873 completed March 12, 2026, 1:32 p.m.
Created at: March 6, 2026, 9:54 p.m.