Triple

T11977199
Position Surface form Disambiguated ID Type / Status
Subject Liliaceae E285068 entity
Predicate contains P35 FINISHED
Object Tulipa E386363 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: Tulipa | Statement: [Liliaceae, contains, Tulipa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulipa
Context triple: [Liliaceae, contains, Tulipa]
  • A. Tulipa chosen
    Tulipa is a genus of bulbous flowering plants best known for its colorful tulip blooms, widely cultivated as ornamental garden and cut flowers.
  • B. Tulips
    "Tulips" is a confessional poem by Sylvia Plath that explores themes of identity, illness, and the tension between life and death through the speaker’s intense reaction to a bouquet of bright red tulips in a hospital room.
  • C. Dahlia
    Dahlia is a central female character in the surreal animated short film "Destino," a long-gestating collaboration between Walt Disney and Salvador Dalí.
  • D. Anemone
    Anemone is a genus of flowering plants known for its colorful, often wind-pollinated blooms commonly called windflowers.
  • E. Lilium
    Lilium is a genus of flowering plants known for its large, often fragrant, trumpet-shaped lilies commonly grown as ornamentals in gardens and used in floral arrangements.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903926690819090e7ce982f103457 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471f6afc48190856a0f7c486b28aa completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.