Triple

T14040280
Position Surface form Disambiguated ID Type / Status
Subject Pontivy E337826 entity
Predicate historicalName P65 FINISHED
Object Napoléon-Pontivy
Napoléon-Pontivy is the former Napoleonic-era name of the town of Pontivy in Brittany, France, reflecting its historical association with Napoleon Bonaparte.
E1075332 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: Napoléon-Pontivy | Statement: [Pontivy, historicalName, Napoléon-Pontivy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napoléon-Pontivy
Context triple: [Pontivy, historicalName, Napoléon-Pontivy]
  • A. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • B. Napoleon LeBrun
    Napoleon LeBrun was a prominent 19th-century American architect known for designing significant civic and religious buildings, particularly in New York and Philadelphia.
  • C. Oudinot
    Oudinot was a prominent French marshal of the Napoleonic Wars, noted for his bravery, multiple wounds in battle, and command of several major campaigns.
  • D. Foucher
    Foucher is a French surname most notably borne by Adèle Foucher, the wife of writer Victor Hugo.
  • E. Barthélemy
    Barthélemy is the given name of Barthélemy Catherine Joubert, a French general who served during the Revolutionary Wars.
  • 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: Napoléon-Pontivy
Triple: [Pontivy, historicalName, Napoléon-Pontivy]
Generated description
Napoléon-Pontivy is the former Napoleonic-era name of the town of Pontivy in Brittany, France, reflecting its historical association with Napoleon Bonaparte.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Napoléon-Pontivy
Target entity description: Napoléon-Pontivy is the former Napoleonic-era name of the town of Pontivy in Brittany, France, reflecting its historical association with Napoleon Bonaparte.
  • A. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • B. Napoleon LeBrun
    Napoleon LeBrun was a prominent 19th-century American architect known for designing significant civic and religious buildings, particularly in New York and Philadelphia.
  • C. Oudinot
    Oudinot was a prominent French marshal of the Napoleonic Wars, noted for his bravery, multiple wounds in battle, and command of several major campaigns.
  • D. Foucher
    Foucher is a French surname most notably borne by Adèle Foucher, the wife of writer Victor Hugo.
  • E. Barthélemy
    Barthélemy is the given name of Barthélemy Catherine Joubert, a French general who served during the Revolutionary Wars.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30ee374081908b6b5e8f81dd90f2 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33dbc8c819080b6cb3d589da7a1 completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc6d1048081908fb2e798cbc9902f completed May 6, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69fbc76610008190bd3c7f357666c8db completed May 6, 2026, 10:57 p.m.
Created at: April 9, 2026, 10:20 p.m.