Triple

T8692460
Position Surface form Disambiguated ID Type / Status
Subject Argolic Gulf E206323 entity
Predicate hasIsland P970 FINISHED
Object Dokos
Dokos is a small, sparsely populated Greek island in the Saronic/Argolic Gulf, known for its rugged landscape and tranquil, undeveloped character.
 E719319 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: Dokos | Statement: [Argolic Gulf, hasIsland, Dokos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dokos
Context triple: [Argolic Gulf, hasIsland, Dokos]
  • A. Dokos
    Dokos is a small, sparsely inhabited Greek island in the Saronic Gulf, known for its rugged landscape and archaeological significance.
  • B. Dokka
    Dokka is a small Norwegian town that serves as a local commercial and service center in the inland region of Oppland.
  • C. Dokki
    Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
  • D. Dorcon
    Dorcon is a rustic cowherd in Longus’s ancient Greek pastoral romance "Daphnis and Chloe," known for his unrequited love for Chloe and his role as a comic, sympathetic rival to Daphnis.
  • E. Дьокуускай
    Дьокуускай is the Sakha (Yakut) name for Yakutsk, the capital city of Russia’s Sakha Republic in northeastern Siberia.
  • 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: Dokos
Triple: [Argolic Gulf, hasIsland, Dokos]
Generated description
Dokos is a small, sparsely populated Greek island in the Saronic/Argolic Gulf, known for its rugged landscape and tranquil, undeveloped character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dokos
Target entity description: Dokos is a small, sparsely populated Greek island in the Saronic/Argolic Gulf, known for its rugged landscape and tranquil, undeveloped character.
  • A. Dokos chosen
    Dokos is a small, sparsely inhabited Greek island in the Saronic Gulf, known for its rugged landscape and archaeological significance.
  • B. Dokka
    Dokka is a small Norwegian town that serves as a local commercial and service center in the inland region of Oppland.
  • C. Dokki
    Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
  • D. Dorcon
    Dorcon is a rustic cowherd in Longus’s ancient Greek pastoral romance "Daphnis and Chloe," known for his unrequited love for Chloe and his role as a comic, sympathetic rival to Daphnis.
  • E. Дьокуускай
    Дьокуускай is the Sakha (Yakut) name for Yakutsk, the capital city of Russia’s Sakha Republic in northeastern Siberia.
  • F. None of above.

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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5825385081908dee42cba8e98392 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3ea2ba08190b8046e703ba7d2d8 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef538b4008190b00fa3f16b231ca3 completed April 2, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69cef6a6b6d4819089b3dc327a05b759 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:33 p.m.