Triple

T2261665
Position Surface form Disambiguated ID Type / Status
Subject Pessac-Léognan E50052 entity
Predicate containsCommune P15149 FINISHED
Object Saucats
Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
 E251265 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: Saucats | Statement: [Pessac-Léognan, containsCommune, Saucats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saucats
Context triple: [Pessac-Léognan, containsCommune, Saucats]
  • A. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • D. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • E. Sauter
    Sauter is a surname of German origin, often associated with individuals in fields such as music, engineering, and business.
  • 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: Saucats
Triple: [Pessac-Léognan, containsCommune, Saucats]
Generated description
Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saucats
Target entity description: Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
  • A. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • D. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • E. Sauter
    Sauter is a surname of German origin, often associated with individuals in fields such as music, engineering, and business.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc5b262488190b6455d1d28d2306d completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cdacb48190bc11e9e0e6b61ba0 completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae727388f48190bbb516e1cc907689 completed March 9, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae733c44008190ac1429da66cf77aa completed March 9, 2026, 7:14 a.m.
Created at: March 4, 2026, 7:48 p.m.