Triple

T16765028
Position Surface form Disambiguated ID Type / Status
Subject Mesara Plain E407440 entity
Predicate contains P35 FINISHED
Object Kommos
Kommos is an archaeological site on the southern coast of Crete that served as an important Minoan harbor town and later Greek sanctuary.
 E1231588 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: Kommos | Statement: [Mesara Plain, contains, Kommos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kommos
Context triple: [Mesara Plain, contains, Kommos]
  • A. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • B. Mima City
    Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
  • C. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • D. Okimi Town
    Okimi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
  • E. Kihoku
    Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
  • 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: Kommos
Triple: [Mesara Plain, contains, Kommos]
Generated description
Kommos is an archaeological site on the southern coast of Crete that served as an important Minoan harbor town and later Greek sanctuary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kommos
Target entity description: Kommos is an archaeological site on the southern coast of Crete that served as an important Minoan harbor town and later Greek sanctuary.
  • A. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • B. Mima City
    Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
  • C. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • D. Okimi Town
    Okimi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
  • E. Kihoku
    Kihoku is a town in Mie Prefecture, Japan, known for its coastal scenery and fishing industry along the Kumano Sea.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abf126408190bd0365eca150f745 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52ff9d481909675c7e1f81191dc completed May 10, 2026, 3:33 p.m.
NEDg Description generation batch_6a00a5f02c388190b3f6fb26798f2393 completed May 10, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a00a68b92b48190865ddd477a8ba1c6 completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.