Triple

T6114060
Position Surface form Disambiguated ID Type / Status
Subject Boudry E136315 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Rochefort
Rochefort is a municipality in the canton of Neuchâtel in western Switzerland.
 E573796 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: [Boudry, hasNeighboringMunicipality, Rochefort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochefort
Context triple: [Boudry, hasNeighboringMunicipality, Rochefort]
  • A. Rochefort
    Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • B. Rochefort
    Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
  • C. 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.
  • D. Luçon
    Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
  • E. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • 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: [Boudry, hasNeighboringMunicipality, Rochefort]
Generated description
Rochefort is a municipality in the canton of Neuchâtel in western Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochefort
Target entity description: Rochefort is a municipality in the canton of Neuchâtel in western Switzerland.
  • A. Rochefort
    Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • B. Rochefort
    Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
  • C. 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.
  • D. Luçon
    Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
  • E. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbf2ee4819097af2cce9248bf4e completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141619c148190b0fb94e2b1458510 completed March 23, 2026, 1:34 p.m.
NEDg Description generation batch_69c147d2e29881909d32966377c1d311 completed March 23, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69c14bed19248190af1ad227dd2cfac4 completed March 23, 2026, 2:19 p.m.
Created at: March 22, 2026, 4:14 p.m.