Triple

T15508458
Position Surface form Disambiguated ID Type / Status
Subject Πηνειός E379142 entity
Predicate locatedOnContinent P233 FINISHED
Object Ευρώπη E925900 NE FINISHED

How this triple was built (2 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: Ευρώπη | Statement: [Πηνειός, locatedOnContinent, Ευρώπη]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ευρώπη
Context triple: [Πηνειός, locatedOnContinent, Ευρώπη]
  • A. Ευρώπη chosen
    Η Ευρώπη είναι μία από τις ηπείρους της Γης, γνωστή για την πλούσια ιστορία, τον πολιτισμό της και τον σημαντικό ρόλο της στην παγκόσμια πολιτική και οικονομία.
  • B. Europa
    Europa is a figure in Greek mythology, a Phoenician princess famously abducted by Zeus and later the eponymous queen of Crete.
  • C. Europa
    Europa is the primary continent-spanning, pseudo-European steampunk world in the Girl Genius webcomic, filled with mad science, clanking constructs, and warring powers.
  • D. Europa
    Europa is a 1991 surreal, noir-style drama film by Danish director Lars von Trier, known for its striking visual style and hypnotic narrative set in post-World War II Germany.
  • E. Europa
    Europa is one of the traditional continents of the Earth, encompassing a diverse range of countries, cultures, and histories commonly referred to in English as Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4cf35c8190aa8d2db6dd744c3f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:55 a.m.