Triple

T17547389
Position Surface form Disambiguated ID Type / Status
Subject Balagne E427363 entity
Predicate hasVillage P4011 FINISHED
Object Cateri
Cateri is a small traditional village in the Balagne region of northwestern Corsica, known for its hillside setting and historic stone architecture.
 E1275672 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: Cateri | Statement: [Balagne, hasVillage, Cateri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cateri
Context triple: [Balagne, hasVillage, Cateri]
  • A. Catero
    Catero is a musical artist known for collaborating on the track "Weather or Not."
  • B. Caretena
    Caretena was a historical figure known primarily as the daughter of Queen Clotilde.
  • C. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Catu
    Catu is a municipality in the state of Bahia, Brazil, located within the Metropolitan Region of Salvador and known historically for its role in regional agriculture and oil production.
  • 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: Cateri
Triple: [Balagne, hasVillage, Cateri]
Generated description
Cateri is a small traditional village in the Balagne region of northwestern Corsica, known for its hillside setting and historic stone architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cateri
Target entity description: Cateri is a small traditional village in the Balagne region of northwestern Corsica, known for its hillside setting and historic stone architecture.
  • A. Catero
    Catero is a musical artist known for collaborating on the track "Weather or Not."
  • B. Caretena
    Caretena was a historical figure known primarily as the daughter of Queen Clotilde.
  • C. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Catu
    Catu is a municipality in the state of Bahia, Brazil, located within the Metropolitan Region of Salvador and known historically for its role in regional agriculture and oil production.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d28f01588190b608e9e8c6c63635 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d39bf344819096a89179137e22ab completed May 11, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a01d48da4b0819094d4e32847b97345 completed May 11, 2026, 1:07 p.m.
Created at: April 10, 2026, 5:49 a.m.