Triple

T3600503
Position Surface form Disambiguated ID Type / Status
Subject Scillus E76242 entity
Predicate historicalRegion P915 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: [Scillus, historicalRegion, Elis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elis
Context triple: [Scillus, historicalRegion, 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. Ela
    Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
  • C. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • D. Elin
    Elin is a feminine given name, commonly used in Scandinavian countries and often considered a variant of Ellen or Helen.
  • E. Lizella
    Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1a1e8c48190a28ea3ddfe8c4e54 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43309a9b48190bc2aa6f970d45612 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.