Triple

T18279477
Position Surface form Disambiguated ID Type / Status
Subject Gidgegannup, Western Australia, Australia E437825 entity
Predicate watercourseNearby P8567 FINISHED
Object Wooroloo Brook
Wooroloo Brook is a natural watercourse in Western Australia that flows through the Perth Hills region, contributing to local ecosystems and rural landscapes.
E1904831 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: Wooroloo Brook | Statement: [Gidgegannup, Western Australia, Australia, watercourseNearby, Wooroloo Brook]
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: Wooroloo Brook
Triple: [Gidgegannup, Western Australia, Australia, watercourseNearby, Wooroloo Brook]
Generated description
Wooroloo Brook is a natural watercourse in Western Australia that flows through the Perth Hills region, contributing to local ecosystems and rural landscapes.

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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50054d1dc8190b31d02f617256e9d completed April 19, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276413753c8190bc46aa676b646345 completed June 9, 2026, 12:53 a.m.
NEDg Description generation batch_6a2764dcc7148190b7ba48ce073f845f completed June 9, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a2765db45d88190817f04133b5efd75 completed June 9, 2026, 1:01 a.m.
Created at: April 10, 2026, 10:34 a.m.