Triple

T35981108
Position Surface form Disambiguated ID Type / Status
Subject Brookvale Oval E1040563 entity
Predicate alsoKnownAs P39 FINISHED
Object Lottoland
Lottoland is the commercial name of Brookvale Oval, a rugby league stadium on Sydney’s Northern Beaches and home ground of the Manly Warringah Sea Eagles.
E2164141 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: Lottoland | Statement: [Brookvale Oval, alsoKnownAs, Lottoland]
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: Lottoland
Triple: [Brookvale Oval, alsoKnownAs, Lottoland]
Generated description
Lottoland is the commercial name of Brookvale Oval, a rugby league stadium on Sydney’s Northern Beaches and home ground of the Manly Warringah Sea Eagles.

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_69f76e28293c8190ae3f4e2208b87117 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac54604c819086213226a1daba96 completed May 3, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b71852088190a557274b2cbfedba completed June 22, 2026, 4:16 a.m.
NEDg Description generation batch_6a38b90c0d8c8190849d12fcd2f6bcac completed June 22, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a38ba2ad05c819094b51b6dea634c0b completed June 22, 2026, 4:29 a.m.
Created at: May 3, 2026, 4:07 p.m.