Triple

T13697769
Position Surface form Disambiguated ID Type / Status
Subject Governor of Greece E328431 entity
Predicate legislativeBody P239 FINISHED
Object Panellinion
Panellinion was an early advisory and legislative council established during the Greek War of Independence to assist in governing the emerging Greek state.
 E1055973 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: Panellinion | Statement: [Governor of Greece, legislativeBody, Panellinion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Panellinion
Context triple: [Governor of Greece, legislativeBody, Panellinion]
  • A. Pisatis
    Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
  • B. Erasinos
    Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
  • C. Patronis
    Patronis is a surname most notably associated with Jimmy Patronis, an American politician who has served as Florida’s Chief Financial Officer.
  • D. Soulis
    Soulis is a surname of Scottish origin historically associated with the noble de Soulis family.
  • E. Dilios
    Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
  • 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: Panellinion
Triple: [Governor of Greece, legislativeBody, Panellinion]
Generated description
Panellinion was an early advisory and legislative council established during the Greek War of Independence to assist in governing the emerging Greek state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Panellinion
Target entity description: Panellinion was an early advisory and legislative council established during the Greek War of Independence to assist in governing the emerging Greek state.
  • A. Pisatis
    Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
  • B. Erasinos
    Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
  • C. Patronis
    Patronis is a surname most notably associated with Jimmy Patronis, an American politician who has served as Florida’s Chief Financial Officer.
  • D. Soulis
    Soulis is a surname of Scottish origin historically associated with the noble de Soulis family.
  • E. Dilios
    Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc878b57c819094e7ea6d1a64211f completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794559e9c81909ef8a6d9b9f480b3 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f798aab9c48190acaa78864e89411f completed May 3, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_69f79943e4f4819098fa82cb6a32e08a completed May 3, 2026, 6:51 p.m.
Created at: April 9, 2026, 9:54 p.m.