Triple

T533592
Position Surface form Disambiguated ID Type / Status
Subject Aegean Sea E12277 entity
Predicate hasPart P35 FINISHED
Object Skopelos
Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
E74178 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: Skopelos | Statement: [Aegean Sea, hasPart, Skopelos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skopelos
Context triple: [Aegean Sea, hasPart, Skopelos]
  • A. Skiathos
    Skiathos is a small Greek island in the northwest Aegean Sea, renowned for its sandy beaches, pine forests, and vibrant tourist resorts.
  • B. Paros
    Paros is a popular Greek island in the central Aegean known for its traditional Cycladic villages, beaches, and marble quarries.
  • C. Mykonos
    Mykonos is a popular Greek island in the Cyclades known for its whitewashed architecture, vibrant nightlife, and picturesque beaches.
  • D. Thasos
    Thasos is a Greek island in the northern Aegean Sea known for its rich ancient history, marble quarries, and pine-forested landscapes.
  • E. Aegina
    Aegina is a Greek island in the Saronic Gulf, historically significant as a maritime power and cultural center in ancient Greece.
  • 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: Skopelos
Triple: [Aegean Sea, hasPart, Skopelos]
Generated description
Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skopelos
Target entity description: Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
  • A. Skiathos
    Skiathos is a small Greek island in the northwest Aegean Sea, renowned for its sandy beaches, pine forests, and vibrant tourist resorts.
  • B. Paros
    Paros is a popular Greek island in the central Aegean known for its traditional Cycladic villages, beaches, and marble quarries.
  • C. Mykonos
    Mykonos is a popular Greek island in the Cyclades known for its whitewashed architecture, vibrant nightlife, and picturesque beaches.
  • D. Thasos
    Thasos is a Greek island in the northern Aegean Sea known for its rich ancient history, marble quarries, and pine-forested landscapes.
  • E. Aegina
    Aegina is a Greek island in the Saronic Gulf, historically significant as a maritime power and cultural center in ancient Greece.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a494e0ab1881909d0cea4dfaa34b0a completed March 1, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5154d3a70819097de31be3b753523 completed March 2, 2026, 4:42 a.m.
NEDg Description generation batch_69a516a9b95081908b7c947edd0ef268 completed March 2, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69a5173b405081908135a9b03e1bb11f completed March 2, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:32 p.m.