Triple

T2905779
Position Surface form Disambiguated ID Type / Status
Subject Hosier Lane E62758 entity
Predicate near P350 FINISHED
Object Flinders Street E158334 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: Flinders Street | Statement: [Hosier Lane, near, Flinders Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flinders Street
Context triple: [Hosier Lane, near, Flinders Street]
  • A. Flinders Street chosen
    Flinders Street is a major thoroughfare in central Melbourne, Australia, known for its historic architecture, heavy traffic, and role as a key commercial and transport corridor.
  • B. Swanston Street
    Swanston Street is one of Melbourne’s main central thoroughfares, known as a key public transport and pedestrian spine running through the heart of the city.
  • C. William Street
    William Street is a street in Lower Manhattan’s Financial District known for its proximity to major subway stations and financial institutions.
  • D. Macquarie Street, Sydney
    Macquarie Street, Sydney is a historic civic and parliamentary boulevard in central Sydney that houses key government institutions, including the New South Wales Parliament.
  • E. George Street, Sydney
    George Street, Sydney is one of the city's main historic thoroughfares, running through the central business district and lined with major commercial, retail, and heritage landmarks.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0cee7988190875665145c3cd605 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0560e0cac819097ddc2702e4479f5 completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.