Triple

T3302140
Position Surface form Disambiguated ID Type / Status
Subject Ramillies E69359 entity
Predicate locatedNear P294 FINISHED
Object Jodoigne
Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
 E347056 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: Jodoigne | Statement: [Ramillies, locatedNear, Jodoigne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jodoigne
Context triple: [Ramillies, locatedNear, Jodoigne]
  • A. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • D. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • E. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • 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: Jodoigne
Triple: [Ramillies, locatedNear, Jodoigne]
Generated description
Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jodoigne
Target entity description: Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
  • A. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • D. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • E. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a9450481909f0d630e5593085e completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3df7f548190ada47f742df46545 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b3006293248190952c5a53d9afa4e7 completed March 12, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_69b313ddfb1081909719dd584846c6ed completed March 12, 2026, 7:28 p.m.
Created at: March 8, 2026, 3:11 p.m.