Triple

T38243258
Position Surface form Disambiguated ID Type / Status
Subject Lenswood, South Australia E1013824 entity
Predicate hasFacility P105 FINISHED
Object Lenswood Memorial Park
Lenswood Memorial Park is a community recreational and commemorative reserve in Lenswood, South Australia, serving as a local gathering place for sport, leisure, and remembrance.
E2264634 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: Lenswood Memorial Park | Statement: [Lenswood, South Australia, hasFacility, Lenswood Memorial Park]
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: Lenswood Memorial Park
Triple: [Lenswood, South Australia, hasFacility, Lenswood Memorial Park]
Generated description
Lenswood Memorial Park is a community recreational and commemorative reserve in Lenswood, South Australia, serving as a local gathering place for sport, leisure, and remembrance.

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_69f76dd7e89c8190b7866bc85aea521b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb18267fc8190bc80cfdbf8bd3d01 completed May 7, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419df0a3a48190af2641e10a9b8aaa completed June 28, 2026, 10:19 p.m.
NEDg Description generation batch_6a419f35f0f481908fb770eac6fe5087 completed June 28, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a419fa35dc88190aeff12a429dfc3af completed June 28, 2026, 10:26 p.m.
Created at: May 3, 2026, 4:30 p.m.