Triple

T16314343
Position Surface form Disambiguated ID Type / Status
Subject Eastern Greek dialects E396135 entity
Predicate includes P1393 FINISHED
Object Ionic Greek E5873 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: Ionic Greek | Statement: [Eastern Greek dialects, includes, Ionic Greek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ionic Greek
Context triple: [Eastern Greek dialects, includes, Ionic Greek]
  • A. Ionic Greek chosen
    Ionic Greek is an ancient Greek dialect, notably used in early epic and scientific literature, that significantly influenced the later development of Koine Greek.
  • B. The Greek
    The Greek is the nickname of El Greco, the renowned 16th-century painter, sculptor, and architect of the Spanish Renaissance known for his expressive, elongated figures and dramatic use of color and light.
  • C. The Greek
    The Greek is a historic open-air amphitheater in Los Angeles renowned for hosting concerts, theatrical performances, and other live entertainment events.
  • D. Grikos
    Grikos is a small coastal village on the Greek island of Patmos, known for its scenic bay and tranquil beaches.
  • E. GRECO
    GRECO is a Council of Europe monitoring body that helps member states prevent and combat corruption by evaluating their compliance with anti-corruption standards.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288dd90d4819097bd01a7b40a54cd completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa88e8c8190b0423b60389896dc completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.