Triple

T35944665
Position Surface form Disambiguated ID Type / Status
Subject Oxalidaceae E1039555 entity
Predicate containsGenus P9413 FINISHED
Object Averrhoa
Averrhoa is a small genus of tropical flowering plants best known for including the fruit trees carambola (starfruit) and bilimbi.
E2163252 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: Averrhoa | Statement: [Oxalidaceae, containsGenus, Averrhoa]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Averrhoa
Triple: [Oxalidaceae, containsGenus, Averrhoa]
Generated description
Averrhoa is a small genus of tropical flowering plants best known for including the fruit trees carambola (starfruit) and bilimbi.

Provenance (5 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_69f76e24bbd0819096b837d35371639a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abb2433c8190a1f72305f0679c13 completed May 3, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b6fc23d481909936cbff0db2c7cf completed June 22, 2026, 4:15 a.m.
NEDg Description generation batch_6a38b822a2a481909a16755875adedc0 completed June 22, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_6a38b8a713a481908bccea46167911fc completed June 22, 2026, 4:23 a.m.
Created at: May 3, 2026, 4:07 p.m.