Triple

T5262454
Position Surface form Disambiguated ID Type / Status
Subject Lesse E118856 entity
Predicate passesNear P416 FINISHED
Object Rochefort
Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
 E508274 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: Rochefort | Statement: [Lesse, passesNear, Rochefort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochefort
Context triple: [Lesse, passesNear, Rochefort]
  • A. Rochefort
    Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • B. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • C. Luçon
    Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
  • D. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • E. Saumur
    Saumur is a historic town in western France renowned for its château, wine production, and cavalry school on the banks of the Loire River.
  • 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: Rochefort
Triple: [Lesse, passesNear, Rochefort]
Generated description
Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochefort
Target entity description: Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
  • A. Rochefort
    Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • B. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • C. Luçon
    Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
  • D. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • E. Saumur
    Saumur is a historic town in western France renowned for its château, wine production, and cavalry school on the banks of the Loire River.
  • 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.