Triple

T2261666
Position Surface form Disambiguated ID Type / Status
Subject Pessac-Léognan E50052 entity
Predicate containsCommune P15149 FINISHED
Object Cestas
Cestas is a commune in southwestern France’s Gironde department, near Bordeaux, known for its location within the prestigious Pessac-Léognan wine-growing area.
 E251266 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: Cestas | Statement: [Pessac-Léognan, containsCommune, Cestas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cestas
Context triple: [Pessac-Léognan, containsCommune, Cestas]
  • A. Cailliau
    Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
  • B. Panza
    Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
  • C. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Barras
    Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
  • 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: Cestas
Triple: [Pessac-Léognan, containsCommune, Cestas]
Generated description
Cestas is a commune in southwestern France’s Gironde department, near Bordeaux, known for its location within the prestigious Pessac-Léognan wine-growing area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cestas
Target entity description: Cestas is a commune in southwestern France’s Gironde department, near Bordeaux, known for its location within the prestigious Pessac-Léognan wine-growing area.
  • A. Cailliau
    Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
  • B. Panza
    Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
  • C. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Barras
    Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
  • 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.