Triple

T8189790
Position Surface form Disambiguated ID Type / Status
Subject Pierre Gassendi E191274 entity
Predicate placeOfBirth P1 FINISHED
Object Champtercier
Champtercier is a small commune in southeastern France, known as the birthplace of the 17th-century philosopher and scientist Pierre Gassendi.
 E718185 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: Champtercier | Statement: [Pierre Gassendi, placeOfBirth, Champtercier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Champtercier
Context triple: [Pierre Gassendi, placeOfBirth, Champtercier]
  • A. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • B. Charny
    Charny is a French commune located in the Île-de-France region, known for its rural character within the greater Paris metropolitan area.
  • C. Carquefou
    Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
  • D. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur 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: Champtercier
Triple: [Pierre Gassendi, placeOfBirth, Champtercier]
Generated description
Champtercier is a small commune in southeastern France, known as the birthplace of the 17th-century philosopher and scientist Pierre Gassendi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Champtercier
Target entity description: Champtercier is a small commune in southeastern France, known as the birthplace of the 17th-century philosopher and scientist Pierre Gassendi.
  • A. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • B. Charny
    Charny is a French commune located in the Île-de-France region, known for its rural character within the greater Paris metropolitan area.
  • C. Carquefou
    Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
  • D. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da0e1288190b9c7c1d3b9a98830 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced8da28c81909c34c0103da68f0f completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf1b5f95481909fdb08d00d06023e completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:41 p.m.