Triple

T16203851
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Bastia E393269 entity
Predicate contains P35 FINISHED
Object Oletta
Oletta is a small commune in the Haute-Corse department on the island of Corsica in France, known for its scenic hillside setting and nearby vineyards.
 E1198794 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: Oletta | Statement: [arrondissement of Bastia, contains, Oletta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oletta
Context triple: [arrondissement of Bastia, contains, Oletta]
  • A. Olette
    Olette is a small historic village in the Conflent region of the French Pyrenees, known for its traditional stone architecture and scenic mountain setting.
  • B. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • C. Ota
    Ōta is a large ward in southern Tokyo, Japan, known for Haneda Airport, residential neighborhoods, and a mix of industrial and commercial areas.
  • D. Ota
    Ōta is a major industrial city in Japan’s northern Kantō region, known especially for its automotive manufacturing, including the headquarters and main plants of Subaru.
  • E. Ota
    Ota is a civil parish in Portugal, known for its location within the municipality of Alenquer in the Lisbon District.
  • 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: Oletta
Triple: [arrondissement of Bastia, contains, Oletta]
Generated description
Oletta is a small commune in the Haute-Corse department on the island of Corsica in France, known for its scenic hillside setting and nearby vineyards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oletta
Target entity description: Oletta is a small commune in the Haute-Corse department on the island of Corsica in France, known for its scenic hillside setting and nearby vineyards.
  • A. Olette
    Olette is a small historic village in the Conflent region of the French Pyrenees, known for its traditional stone architecture and scenic mountain setting.
  • B. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • C. Ota
    Ōta is a large ward in southern Tokyo, Japan, known for Haneda Airport, residential neighborhoods, and a mix of industrial and commercial areas.
  • D. Ota
    Ōta is a major industrial city in Japan’s northern Kantō region, known especially for its automotive manufacturing, including the headquarters and main plants of Subaru.
  • E. Ota
    Ota is a civil parish in Portugal, known for its location within the municipality of Alenquer in the Lisbon District.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270ca18c8190a259992aed4ec072 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff14b0988190bb4128b2e02aee32 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00003d347481908285b2253fd20ac1 completed May 10, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0000adc1b08190abbafcabb4ebc079 completed May 10, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:03 a.m.