Triple

T35178794
Position Surface form Disambiguated ID Type / Status
Subject Balhannah, South Australia E1015787 entity
Predicate locatedIn P40 FINISHED
Object Adelaide Hills wine region
The Adelaide Hills wine region is a cool-climate viticultural area in South Australia renowned for its premium Sauvignon Blanc, Chardonnay, and Pinot Noir wines.
E316579 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: Adelaide Hills wine region | Statement: [Balhannah, South Australia, locatedIn, Adelaide Hills wine region]
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: Adelaide Hills wine region
Triple: [Balhannah, South Australia, locatedIn, Adelaide Hills wine region]
Generated description
The Adelaide Hills wine region is a cool-climate viticultural area in South Australia renowned for its premium Sauvignon Blanc, Chardonnay, and Pinot Noir wines.

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_69f76ddcc108819097f96853b7ed9ef4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78d78d7c8819081e37e0881eafd91 completed May 3, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384019c80081908c26e626c7f73bbb completed June 21, 2026, 7:48 p.m.
NEDg Description generation batch_6a3840adcad081908294292104447b0c completed June 21, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_6a38411c749881908ea838276aeed039 completed June 21, 2026, 7:53 p.m.
Created at: May 3, 2026, 4:02 p.m.