Triple

T4030233
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Luçon E83690 entity
Predicate locatedIn P40 FINISHED
Object Luçon
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
E424508 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: Luçon | Statement: [Bishop of Luçon, locatedIn, Luçon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luçon
Context triple: [Bishop of Luçon, locatedIn, Luçon]
  • 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. Valognes
    Valognes is a historic town in northwestern France known for its elegant 17th- and 18th-century mansions and its location on the Cotentin Peninsula in Normandy.
  • C. Lorient
    Lorient is a port city in the Brittany region of northwestern France, known for its maritime heritage and annual Interceltic Festival.
  • D. Saint-Malo
    Saint-Malo is a historic walled port city in Brittany, northwestern France, known for its maritime heritage, privateering past, and dramatic coastal setting on the English Channel.
  • E. Vannes
    Vannes is a historic coastal city in northwestern France known for its well-preserved medieval old town and harbor on the Gulf of Morbihan.
  • 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: Luçon
Triple: [Bishop of Luçon, locatedIn, Luçon]
Generated description
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luçon
Target entity description: Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
  • 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. Valognes
    Valognes is a historic town in northwestern France known for its elegant 17th- and 18th-century mansions and its location on the Cotentin Peninsula in Normandy.
  • C. Lorient
    Lorient is a port city in the Brittany region of northwestern France, known for its maritime heritage and annual Interceltic Festival.
  • D. Saint-Malo
    Saint-Malo is a historic walled port city in Brittany, northwestern France, known for its maritime heritage, privateering past, and dramatic coastal setting on the English Channel.
  • E. Vannes
    Vannes is a historic coastal city in northwestern France known for its well-preserved medieval old town and harbor on the Gulf of Morbihan.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a836606c81909acd0f0e31448ba9 completed March 14, 2026, 6:25 p.m.
NEDg Description generation batch_69b5a8caf8bc819084526cf3ee57db86 completed March 14, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69b5acd1de6881909ec9d7d542bb8552 completed March 14, 2026, 6:45 p.m.
Created at: March 9, 2026, 3:36 p.m.