Triple

T3516824
Position Surface form Disambiguated ID Type / Status
Subject Musée national de la Marine E74327 entity
Predicate hasBranchLocation P42732 FINISHED
Object Rochefort
Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
 E365038 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: [Musée national de la Marine, hasBranchLocation, Rochefort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochefort
Context triple: [Musée national de la Marine, hasBranchLocation, Rochefort]
  • A. 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.
  • B. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • C. 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.
  • D. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • E. Libourne
    Libourne is a commune in southwestern France’s Gironde department, known as a wine-trading center and gateway to the Bordeaux wine region.
  • 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: [Musée national de la Marine, hasBranchLocation, Rochefort]
Generated description
Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochefort
Target entity description: Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • A. 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.
  • B. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • C. 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.
  • D. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • E. Libourne
    Libourne is a commune in southwestern France’s Gironde department, known as a wine-trading center and gateway to the Bordeaux wine region.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc31c0688190a890621a901f5f5f completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7da9c08190ab417b45339513bd completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f61b4a88190b36ada98f063edcf completed March 13, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_69b37fbec2ec81909228716c70ffa2bd completed March 13, 2026, 3:08 a.m.
Created at: March 8, 2026, 3:19 p.m.