Triple

T15932774
Position Surface form Disambiguated ID Type / Status
Subject Tulipa E386363 entity
Predicate parentTaxon P2891 FINISHED
Object Liliaceae E285068 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: Liliaceae | Statement: [Tulipa, parentTaxon, Liliaceae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liliaceae
Context triple: [Tulipa, parentTaxon, Liliaceae]
  • A. Liliaceae chosen
    Liliaceae is a family of flowering monocot plants that includes many well-known ornamental and bulbous species such as lilies and tulips.
  • B. Iridaceae
    Iridaceae is a family of flowering plants known for its showy, often iris-like flowers and includes many ornamental garden species.
  • C. Colchicaceae
    Colchicaceae is a family of flowering plants in the order Liliales, best known for bulbous or cormous species that often contain the alkaloid colchicine.
  • D. Amaryllidaceae
    Amaryllidaceae is a family of flowering monocot plants that includes many ornamental and bulb-forming species such as daffodils, snowdrops, and amaryllis.
  • E. Ranunculaceae
    Ranunculaceae is a large family of mostly herbaceous flowering plants, including buttercups, clematis, and columbines, known for their often showy but sometimes toxic flowers.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a6d9b88190b461d12d69b12ac0 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b514108190965e77346d8b476e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.