Triple

T2680548
Position Surface form Disambiguated ID Type / Status
Subject Corinthia E56561 entity
Predicate hasPart P35 FINISHED
Object Kiato
Kiato is a coastal town in the northern Peloponnese of Greece, serving as a local commercial and transportation hub within the regional unit of Corinthia.
 E288757 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: Kiato | Statement: [Corinthia, hasPart, Kiato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiato
Context triple: [Corinthia, hasPart, Kiato]
  • A. Kiamu
    Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
  • B. Jitiya
    Jitiya is a traditional Hindu fasting festival observed by mothers in parts of India and Nepal, especially in the Mithila region, for the well-being and long life of their children.
  • C. Kyotango
    Kyotango is a coastal city in northern Kyoto Prefecture, Japan, known for its scenic landscapes, hot springs, and traditional rural culture.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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: Kiato
Triple: [Corinthia, hasPart, Kiato]
Generated description
Kiato is a coastal town in the northern Peloponnese of Greece, serving as a local commercial and transportation hub within the regional unit of Corinthia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiato
Target entity description: Kiato is a coastal town in the northern Peloponnese of Greece, serving as a local commercial and transportation hub within the regional unit of Corinthia.
  • A. Kiamu
    Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
  • B. Jitiya
    Jitiya is a traditional Hindu fasting festival observed by mothers in parts of India and Nepal, especially in the Mithila region, for the well-being and long life of their children.
  • C. Kyotango
    Kyotango is a coastal city in northern Kyoto Prefecture, Japan, known for its scenic landscapes, hot springs, and traditional rural culture.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d36ea8819094ada73d86ffaa8b completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06a3eb48190891326891222766d completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa166de908190bdd920ec1b166b3a completed March 10, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69afa1ffbc4881909bb326a8a2f2a05e completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:54 p.m.