Triple

T18376931
Position Surface form Disambiguated ID Type / Status
Subject Kattavia E446341 entity
Predicate near P350 FINISHED
Object Prasonisi
Prasonisi is a windswept cape and beach at the southern tip of Rhodes, Greece, famous for its strong winds and popularity among windsurfers and kitesurfers.
 E1321422 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: Prasonisi | Statement: [Kattavia, near, Prasonisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prasonisi
Context triple: [Kattavia, near, Prasonisi]
  • A. Prasonisi
    Prasonisi is a small Greek islet in the Aegean Sea, known for its remote, rugged landscape and proximity to the island of Antikythera.
  • B. Prousos
    Prousos is a small mountainous village in central Greece, known for its historic monastery and scenic location in the region of Evrytania.
  • C. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • D. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • E. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • 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: Prasonisi
Triple: [Kattavia, near, Prasonisi]
Generated description
Prasonisi is a windswept cape and beach at the southern tip of Rhodes, Greece, famous for its strong winds and popularity among windsurfers and kitesurfers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prasonisi
Target entity description: Prasonisi is a windswept cape and beach at the southern tip of Rhodes, Greece, famous for its strong winds and popularity among windsurfers and kitesurfers.
  • A. Prasonisi
    Prasonisi is a small Greek islet in the Aegean Sea, known for its remote, rugged landscape and proximity to the island of Antikythera.
  • B. Prousos
    Prousos is a small mountainous village in central Greece, known for its historic monastery and scenic location in the region of Evrytania.
  • C. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • D. Prahasta
    Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
  • E. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179849d08190a3ffb9edc633d2ee completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d77c78308190823a35ec21fd92d7 completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8857ba081909a1bee74530523d0 completed May 13, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a03da59c1b081908d9488233c611586 completed May 13, 2026, 1:56 a.m.
Created at: April 10, 2026, 10:45 a.m.