Triple

T8224409
Position Surface form Disambiguated ID Type / Status
Subject Aigina E192141 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Kolona
Kolona is an important archaeological site on the Greek island of Aegina, featuring remains from prehistoric through classical periods, including fortifications and temple structures.
E719597 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: Kolona | Statement: [Aigina, hasArchaeologicalSite, Kolona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolona
Context triple: [Aigina, hasArchaeologicalSite, Kolona]
  • A. Abataranika
    Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
  • B. Rufisque
    Rufisque is a coastal city in western Senegal that developed as an important Atlantic trading port and now forms part of the Dakar metropolitan area.
  • C. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • D. Cayor
    Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
  • E. Baniva
    Baniva is an alternate name for the Baniwa language, an Arawakan language spoken by Indigenous communities in the northwest Amazon region of Brazil, Colombia, and Venezuela.
  • 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: Kolona
Triple: [Aigina, hasArchaeologicalSite, Kolona]
Generated description
Kolona is an important archaeological site on the Greek island of Aegina, featuring remains from prehistoric through classical periods, including fortifications and temple structures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kolona
Target entity description: Kolona is an important archaeological site on the Greek island of Aegina, featuring remains from prehistoric through classical periods, including fortifications and temple structures.
  • A. Abataranika
    Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
  • B. Rufisque
    Rufisque is a coastal city in western Senegal that developed as an important Atlantic trading port and now forms part of the Dakar metropolitan area.
  • C. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • D. Cayor
    Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
  • E. Baniva
    Baniva is an alternate name for the Baniwa language, an Arawakan language spoken by Indigenous communities in the northwest Amazon region of Brazil, Colombia, and Venezuela.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cc351481908d7dcd6d3d15d59f completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee0fd9d0819094350c9c7887cabe completed April 1, 2026, 10:06 a.m.
NEDg Description generation batch_69ccf1bc720081908c4eabf58336318a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05f26f9c8190a3cc00c03c6dda95 completed April 1, 2026, 11:48 a.m.
Created at: March 30, 2026, 5:45 p.m.