Triple

T943225
Position Surface form Disambiguated ID Type / Status
Subject Dionysia E20352 entity
Predicate hasPart P35 FINISHED
Object Lenaia E99719 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: Lenaia | Statement: [Dionysia, hasPart, Lenaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenaia
Context triple: [Dionysia, hasPart, Lenaia]
  • A. Lenaia chosen
    Lenaia was an ancient Athenian winter festival in honor of Dionysus, featuring dramatic competitions and celebrations of wine and fertility.
  • B. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • C. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Cassandane
    Cassandane was a Persian noblewoman of the Achaemenid dynasty, best known as the queen consort of Cyrus the Great and mother of his successor Cambyses II.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a2b1ec8190a2753ad3b3e8cc7a completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258152cc8190a24456aefd58f19c completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:40 p.m.