Triple

T25340889
Position Surface form Disambiguated ID Type / Status
Subject Melbourne Vixens E635408 entity
Predicate formedFromMergerOf P6637 FINISHED
Object Melbourne Kestrels
Melbourne Kestrels were a former elite Australian netball team based in Melbourne that competed in the national league before being merged into the Melbourne Vixens.
E1675717 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: Melbourne Kestrels | Statement: [Melbourne Vixens, formedFromMergerOf, Melbourne Kestrels]
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: Melbourne Kestrels
Triple: [Melbourne Vixens, formedFromMergerOf, Melbourne Kestrels]
Generated description
Melbourne Kestrels were a former elite Australian netball team based in Melbourne that competed in the national league before being merged into the Melbourne Vixens.

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_69e75a99bd6481909476115b35b9a8e4 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f498b6672881909d3257dc6b52caa3 completed May 1, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1075f4e0dc8190ba2e0d68b99a5d21 completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a107730a4ec8190a1f21393c94ab732 completed May 22, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a1077e5ab8c8190b7e81764d7aacc72 completed May 22, 2026, 3:36 p.m.
Created at: April 21, 2026, 1:32 p.m.