Triple

T12013239
Position Surface form Disambiguated ID Type / Status
Subject Anredera cordifolia E285957 entity
Predicate genus P87 FINISHED
Object Anredera E285957 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: Anredera | Statement: [Anredera cordifolia, genus, Anredera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anredera
Context triple: [Anredera cordifolia, genus, Anredera]
  • A. Anredera chosen
    Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
  • B. Dardanella
    Dardanella is a popular early 20th-century jazz and dance band standard, best known through Ben Selvin’s hugely successful recording.
  • C. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • D. Ermera
    Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
  • E. Anara
    Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d884488190b4450a98088208ef completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5ccac481908c61fc1109cc6ef6 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.