Triple

T25423007
Position Surface form Disambiguated ID Type / Status
Subject Tatura E637033 entity
Predicate footballLeague P888 FINISHED
Object Goulburn Valley Football League
The Goulburn Valley Football League is a regional Australian rules football competition based in Victoria’s Goulburn Valley, featuring clubs from towns across the region.
E1678144 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: Goulburn Valley Football League | Statement: [Tatura, footballLeague, Goulburn Valley Football League]
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: Goulburn Valley Football League
Triple: [Tatura, footballLeague, Goulburn Valley Football League]
Generated description
The Goulburn Valley Football League is a regional Australian rules football competition based in Victoria’s Goulburn Valley, featuring clubs from towns across the region.

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_69e75db58a1c8190891b9ff7c2f8414e completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6be79b0819093a406e1f9b1348c completed May 2, 2026, 1:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10899a34f081909e80fe04c6e3e3e6 completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a429fd4819086b842d38c777075 completed May 22, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a108ad0b48c8190b31b28d870e3b200 completed May 22, 2026, 4:56 p.m.
Created at: April 21, 2026, 1:57 p.m.