Triple

T24934871
Position Surface form Disambiguated ID Type / Status
Subject Melbourne Central Shopping Centre E623286 entity
Predicate address P1286 FINISHED
Object Swanston Street, Melbourne CBD
Swanston Street, Melbourne CBD is one of Melbourne’s main central thoroughfares, known for its heavy pedestrian traffic, tram routes, and proximity to major shopping, educational, and cultural landmarks.
E1674256 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: Swanston Street, Melbourne CBD | Statement: [Melbourne Central Shopping Centre, address, Swanston Street, Melbourne CBD]
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: Swanston Street, Melbourne CBD
Triple: [Melbourne Central Shopping Centre, address, Swanston Street, Melbourne CBD]
Generated description
Swanston Street, Melbourne CBD is one of Melbourne’s main central thoroughfares, known for its heavy pedestrian traffic, tram routes, and proximity to major shopping, educational, and cultural landmarks.

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_69e2fac6b5a48190a1c38857f00915a9 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423d4043c8190952356417e9b504c completed May 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075b2299481908f1b5e44c53aa06d completed May 22, 2026, 3:26 p.m.
NEDg Description generation batch_6a10765abfb881908ab8908e1e497f64 completed May 22, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_6a107735ae30819095bf24d523279c69 completed May 22, 2026, 3:33 p.m.
Created at: April 18, 2026, 5:30 a.m.