Triple

T18052486
Position Surface form Disambiguated ID Type / Status
Subject Durio E431953 entity
Predicate containsSpecies P7733 FINISHED
Object Durio dulcis NE NERFINISHED

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: Durio dulcis | Statement: [Durio, containsSpecies, Durio dulcis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durio dulcis
Context triple: [Durio, containsSpecies, Durio dulcis]
  • A. Durio chosen
    Durio is a genus of tropical trees best known for producing durian, a large, spiky fruit famous for its strong odor and rich, custard-like flesh.
  • B. Mangifera
    Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
  • C. Litchi
    Litchi is a tropical fruit-bearing tree genus best known for producing sweet, aromatic lychee fruits with rough red skins and translucent white flesh.
  • D. Mango
    Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
  • E. Dimocarpus longan
    Dimocarpus longan is a tropical fruit tree species known for producing the sweet, translucent-fleshed longan fruit, closely related to lychee and widely cultivated in Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c0ff580c8190bc3ca04025476255 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:25 a.m.