Triple

T3525414
Position Surface form Disambiguated ID Type / Status
Subject Karpathos E74526 entity
Predicate hasVillage P4011 FINISHED
Object Arkasa
Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
 E365607 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: Arkasa | Statement: [Karpathos, hasVillage, Arkasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arkasa
Context triple: [Karpathos, hasVillage, Arkasa]
  • A. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Kharabali
    Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
  • 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: Arkasa
Triple: [Karpathos, hasVillage, Arkasa]
Generated description
Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arkasa
Target entity description: Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
  • A. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Kharabali
    Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6a8d0c819094d38b9c47fb67b4 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8de2648190809369c3f0b7d85d completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f9a6f608190a860b0daef8d9445 completed March 13, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_69b3800990bc8190be99e007560d36cd completed March 13, 2026, 3:10 a.m.
Created at: March 8, 2026, 3:19 p.m.