Triple

T12131272
Position Surface form Disambiguated ID Type / Status
Subject Rubiaceae E288940 entity
Predicate containsTaxon P9413 FINISHED
Object Coffea canephora E897801 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: Coffea canephora | Statement: [Rubiaceae, containsTaxon, Coffea canephora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coffea canephora
Context triple: [Rubiaceae, containsTaxon, Coffea canephora]
  • A. Coffea chosen
    Coffea is a genus of flowering plants whose seeds are processed to produce coffee, one of the most widely consumed beverages in the world.
  • B. Theobroma
    Theobroma is a genus of tropical American trees best known for including Theobroma cacao, the source of cocoa and chocolate.
  • C. Arabica
    Arabica is a high-quality coffee species prized for its smooth, aromatic flavor and widely used in premium coffee varieties worldwide.
  • D. Sidamo
    Sidamo is a Cushitic language spoken primarily in southern Ethiopia by the Sidama people.
  • E. Kafa
    Kafa is an Omotic language spoken primarily in southwestern Ethiopia by the Kafa people.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e48957081909c4598e82ab31e1f completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.