Triple

T24932781
Position Surface form Disambiguated ID Type / Status
Subject Craigieburn railway station E623232 entity
Predicate hasPlatform1Usage P158749 FINISHED
Object services to Flinders Street and city loop LITERAL 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: services to Flinders Street and city loop | Statement: [Craigieburn railway station, hasPlatform1Usage, services to Flinders Street and city loop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlatform1Usage
Context triple: [Craigieburn railway station, hasPlatform1Usage, services to Flinders Street and city loop]
  • A. hasPrimaryPlatform
    Indicates that one entity is designated as the main or principal platform associated with another entity.
  • B. usedByPlatform
    Indicates that something (such as a tool, component, or resource) is utilized or employed by a particular platform.
  • C. usedOnPlatformType
    Indicates that something is utilized or operates on a specific type of platform.
  • D. hasPlatformType
    Indicates that an entity is associated with or characterized by a specific type or category of platform.
  • E. hasPlatformNumber
    Indicates that a location or service is associated with a specific platform identified by a platform number.
  • F. None of above. chosen

Provenance (4 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_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f48060597c8190a4414e4e4fcb1fec completed May 1, 2026, 10:28 a.m.
PDg Predicate description generation batch_69f48b9058d081908ec9af261ee092e2 completed May 1, 2026, 11:16 a.m.
Created at: April 18, 2026, 5:30 a.m.