Triple

T27129336
Position Surface form Disambiguated ID Type / Status
Subject Tamarama Beach E681520 entity
Predicate patrolledBy P21276 FINISHED
Object Tamarama Surf Life Saving Club
Tamarama Surf Life Saving Club is a volunteer-run Australian surf lifesaving organization known for providing beach safety, rescue services, and community education at Tamarama Beach in Sydney.
E1763610 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: Tamarama Surf Life Saving Club | Statement: [Tamarama Beach, patrolledBy, Tamarama Surf Life Saving Club]
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: Tamarama Surf Life Saving Club
Triple: [Tamarama Beach, patrolledBy, Tamarama Surf Life Saving Club]
Generated description
Tamarama Surf Life Saving Club is a volunteer-run Australian surf lifesaving organization known for providing beach safety, rescue services, and community education at Tamarama Beach in Sydney.

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_69eefacbcc2081909ebf00daa23f1981 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62475c1f481908f71234cd4d7012b completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12625c7b808190b6a9ad8ad2f57620 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126390f0d88190b2355174dfe50a85 completed May 24, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a12641d09a881908d4fd0d679ff38b3 completed May 24, 2026, 2:36 a.m.
Created at: April 27, 2026, 9:03 a.m.