Triple

T1560575
Position Surface form Disambiguated ID Type / Status
Subject Olympia E33311 entity
Predicate ancientRegion P13711 FINISHED
Object Elis E71370 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: Elis | Statement: [Olympia, ancientRegion, Elis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elis
Context triple: [Olympia, ancientRegion, Elis]
  • A. Elis chosen
    Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • B. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • C. Elia
    Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
  • D. Elise
    Elise is a given name associated with the Austrian-Swedish physicist Lise Meitner, a pioneer in nuclear fission research.
  • E. Elisa
    Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90885d6208190b4b7d6ad336d4d16 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401e12088190b6f0f5b0d8a423cf completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:27 p.m.