Triple

T10193052
Position Surface form Disambiguated ID Type / Status
Subject Princes Bridge E238086 entity
Predicate connects P390 FINISHED
Object Melbourne city centre E4488 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: Melbourne city centre | Statement: [Princes Bridge, connects, Melbourne city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melbourne city centre
Context triple: [Princes Bridge, connects, Melbourne city centre]
  • A. City of Melbourne
    The City of Melbourne is a municipal government in Brevard County, Florida, responsible for local governance, public services, and community development within the city limits.
  • B. Melbourne
    Melbourne is a coastal city in east-central Florida known for its beaches, aerospace and technology industries, and role as a commercial and cultural hub of the Space Coast.
  • C. Melbourne chosen
    Melbourne is a major Australian city known for its vibrant arts scene, diverse culture, and status as a leading center for sports and education.
  • D. Melbourne
    Melbourne is a historic market town in Derbyshire, England, known for its Georgian architecture and the notable Melbourne Hall and gardens.
  • E. Sydney central business district
    The Sydney central business district is the main commercial and financial hub of Sydney, characterized by its dense concentration of offices, retail, and cultural institutions along the city’s harborfront.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc675008190b8248325f5a208bf completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317ca2cf481909cf715ef9248be3c completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:13 p.m.