Triple

T21369472
Position Surface form Disambiguated ID Type / Status
Subject Sifnos E527013 entity
Predicate hasSettlement P1068 FINISHED
Object Faros
Faros is a small coastal village on the Greek island of Sifnos, known for its picturesque bay, sandy beaches, and traditional Cycladic charm.
 E1480498 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: Faros | Statement: [Sifnos, hasSettlement, Faros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faros
Context triple: [Sifnos, hasSettlement, Faros]
  • A. Faros
    Faros is the ancient Greek name for the historic town of Stari Grad on the Croatian island of Hvar, one of the oldest settlements on the Adriatic coast.
  • B. Grande Nef
    Grande Nef is the main, large-scale exhibition hall of the Centre Pompidou-Metz, designed to host major contemporary art and cultural installations.
  • C. Wayfarer
    Wayfarer is Ray-Ban’s iconic trapezoidal-frame sunglasses style, known for its classic, slightly angular design that has remained popular since the mid-20th century.
  • D. Farsan
    Farsan is a small city in western Iran known for its Bakhtiari tribal culture and scenic mountainous surroundings.
  • E. Faragoh
    Faragoh is a surname most notably associated with Francis Edward Faragoh, a Hungarian-American screenwriter active in early Hollywood cinema.
  • 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: Faros
Triple: [Sifnos, hasSettlement, Faros]
Generated description
Faros is a small coastal village on the Greek island of Sifnos, known for its picturesque bay, sandy beaches, and traditional Cycladic charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faros
Target entity description: Faros is a small coastal village on the Greek island of Sifnos, known for its picturesque bay, sandy beaches, and traditional Cycladic charm.
  • A. Faros
    Faros is the ancient Greek name for the historic town of Stari Grad on the Croatian island of Hvar, one of the oldest settlements on the Adriatic coast.
  • B. Grande Nef
    Grande Nef is the main, large-scale exhibition hall of the Centre Pompidou-Metz, designed to host major contemporary art and cultural installations.
  • C. Wayfarer
    Wayfarer is Ray-Ban’s iconic trapezoidal-frame sunglasses style, known for its classic, slightly angular design that has remained popular since the mid-20th century.
  • D. Farsan
    Farsan is a small city in western Iran known for its Bakhtiari tribal culture and scenic mountainous surroundings.
  • E. Faragoh
    Faragoh is a surname most notably associated with Francis Edward Faragoh, a Hungarian-American screenwriter active in early Hollywood cinema.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0ad04e081908ff02b2ee2bc7485 completed April 22, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad70242c8190bcbd8b8fb56d82af completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09af01f54c8190b7d1923a4fba9e06 completed May 17, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_6a09af62af58819084e740ec78ebe490 completed May 17, 2026, 12:06 p.m.
Created at: April 16, 2026, 5:09 p.m.