Triple

T2680647
Position Surface form Disambiguated ID Type / Status
Subject East Attica regional unit E56563 entity
Predicate contains P35 FINISHED
Object Artemida
Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
E289587 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: Artemida | Statement: [East Attica regional unit, contains, Artemida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artemida
Context triple: [East Attica regional unit, contains, Artemida]
  • A. Artemis
    Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
  • B. Demitra
    Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
  • C. HERA
    HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
  • D. Athénaïs
    Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
  • E. Antiope
    Antiope is an Amazonian queen in Greek mythology, often associated with Athens through her relationship with the hero Theseus.
  • 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: Artemida
Triple: [East Attica regional unit, contains, Artemida]
Generated description
Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Artemida
Target entity description: Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
  • A. Artemis
    Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
  • B. Demitra
    Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
  • C. HERA
    HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
  • D. Athénaïs
    Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
  • E. Antiope
    Antiope is an Amazonian queen in Greek mythology, often associated with Athens through her relationship with the hero Theseus.
  • 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_69afaf57675c8190a0c4a5fb674c4df6 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afb09bbe088190987b0378baa87665 completed March 10, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69afb0f4edc8819098b1c87edaa3df80 completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:54 p.m.