Triple

T3666316
Position Surface form Disambiguated ID Type / Status
Subject Vespa E77766 entity
Predicate includes P1393 FINISHED
Object Vespa crabro E77766 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: Vespa crabro | Statement: [Vespa, includes, Vespa crabro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vespa crabro
Context triple: [Vespa, includes, Vespa crabro]
  • A. Barberini bees
    The Barberini bees are a heraldic emblem of the powerful Italian Barberini family, prominently associated with Pope Urban VIII and widely used in Baroque art and architecture in Rome.
  • B. Avispas
    Avispas is the popular nickname of the professional baseball team from Santiago de Cuba in the Cuban National Series.
  • C. Musca
    Musca is a small southern constellation representing a fly, located near the Southern Cross in the southern sky.
  • D. Vespa chosen
    Vespa is a genus of large social wasps best known for including the true hornets found across Europe and Asia.
  • E. Aquila fasciata
    Aquila fasciata, commonly known as the Bonelli's eagle, is a medium-to-large bird of prey found in parts of southern Europe, Africa, and Asia, known for its powerful build and agile hunting.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc40188988190b1b7ac9c8240a5ff completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4884bd50c8190a334e9aadc734364 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.