Triple

T3134607
Position Surface form Disambiguated ID Type / Status
Subject Kerria japonica E65497 entity
Predicate genus P87 FINISHED
Object Kerria E65497 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: Kerria | Statement: [Kerria japonica, genus, Kerria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerria
Context triple: [Kerria japonica, genus, Kerria]
  • A. Kerria chosen
    Kerria is a small genus of deciduous flowering shrubs, best known for the ornamental Japanese kerria with its bright yellow, rose-like blooms.
  • B. Kerrera
    Kerrera is a small Scottish island in the Inner Hebrides, located near Oban on the country’s west coast.
  • C. Keratea
    Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
  • D. Kueyen
    Kueyen is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory on Cerro Paranal in Chile.
  • E. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada562540081908627950dd0b56a1e completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f84d8288190b1f48fa0f5c10773 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.