Triple

T27250294
Position Surface form Disambiguated ID Type / Status
Subject Hattah-Kulkyne National Park E687465 entity
Predicate hasFlora P3806 FINISHED
Object Eucalyptus camaldulensis
Eucalyptus camaldulensis, commonly known as the river red gum, is a widespread Australian eucalypt tree species typically found along inland waterways and floodplains.
E1764359 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: Eucalyptus camaldulensis | Statement: [Hattah-Kulkyne National Park, hasFlora, Eucalyptus camaldulensis]
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: Eucalyptus camaldulensis
Triple: [Hattah-Kulkyne National Park, hasFlora, Eucalyptus camaldulensis]
Generated description
Eucalyptus camaldulensis, commonly known as the river red gum, is a widespread Australian eucalypt tree species typically found along inland waterways and floodplains.

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_69ef35567e808190a94458cd44ebff0c completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626b4e84c8190bab9109a20ce29f6 completed May 2, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12627f71b08190930f5e94dd6d9b12 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126a21e65481908e3badc3d370b7af completed May 24, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_6a126a826f588190953333802f314dfd completed May 24, 2026, 3:03 a.m.
Created at: April 27, 2026, 10:44 a.m.