Triple

T8347557
Position Surface form Disambiguated ID Type / Status
Subject Orvieto E196077 entity
Predicate hasSubdivision P747 FINISHED
Object Ciconia E706101 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: Ciconia | Statement: [Orvieto, hasSubdivision, Ciconia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciconia
Context triple: [Orvieto, hasSubdivision, Ciconia]
  • A. Ciconia chosen
    Ciconia is a genus of large, long-legged storks that includes several well-known species found across Europe, Asia, and Africa.
  • B. Cathartes
    Cathartes is a genus of New World vultures known for their carrion-feeding habits and keen sense of smell, which includes species such as the turkey vulture.
  • C. Coragyps
    Coragyps is a genus of New World vultures best known for the black vulture, a scavenging bird widely distributed across the Americas.
  • D. Ixobrychus
    Ixobrychus is a genus of small, secretive bitterns (wading birds) typically found in reed beds and marshy wetlands worldwide.
  • E. Hamerkop
    The Hamerkop is a medium-sized African wading bird known for its hammer-shaped head and large, elaborate nest structures.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb801588e881908ac0a291280ac0f8 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc745f33c8190a043aff437874391 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:58 p.m.