Triple

T1956981
Position Surface form Disambiguated ID Type / Status
Subject Floreat Etona E42291 entity
Predicate hasPart P35 FINISHED
Object Etona
Etona is a component or section of the broader entity known as Floreat Etona, likely associated with the traditions or structure of Eton College.
E218517 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: Etona | Statement: [Floreat Etona, hasPart, Etona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etona
Context triple: [Floreat Etona, hasPart, Etona]
  • A. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • B. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • C. Vegueta
    Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
  • D. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • E. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • 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: Etona
Triple: [Floreat Etona, hasPart, Etona]
Generated description
Etona is a component or section of the broader entity known as Floreat Etona, likely associated with the traditions or structure of Eton College.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Etona
Target entity description: Etona is a component or section of the broader entity known as Floreat Etona, likely associated with the traditions or structure of Eton College.
  • A. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • B. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • C. Vegueta
    Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
  • D. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • E. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37c60148190823f6a2a73b949e8 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbca5a7081908f3fa8eaa8f5aa3d completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6bd8e08190a065a89ab3412126 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcee414c8190b1a0574f6bd55602 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.