Triple

T38284787
Position Surface form Disambiguated ID Type / Status
Subject Lion E1022174 entity
Predicate businessDivision P1467 FINISHED
Object Lion Beer, Spirits & Wine Australia
Lion Beer, Spirits & Wine Australia is a major Australian alcoholic beverages division of Lion, producing and distributing a wide portfolio of beer, spirits, and wine brands.
E2262926 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: Lion Beer, Spirits & Wine Australia | Statement: [Lion, businessDivision, Lion Beer, Spirits & Wine Australia]
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: Lion Beer, Spirits & Wine Australia
Triple: [Lion, businessDivision, Lion Beer, Spirits & Wine Australia]
Generated description
Lion Beer, Spirits & Wine Australia is a major Australian alcoholic beverages division of Lion, producing and distributing a wide portfolio of beer, spirits, and wine brands.

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_69f76df0cddc81908d16c1556ff4097f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcc5d6c6488190aa68f6860cbbaccc completed May 7, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4193e4c55c81908e1f6b199e5fb087 completed June 28, 2026, 9:36 p.m.
NEDg Description generation batch_6a4194a73dcc8190a4bfba8dd33acd8c completed June 28, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_6a41956d0f208190be2322f18ed193cf completed June 28, 2026, 9:43 p.m.
Created at: May 3, 2026, 4:30 p.m.