Triple

T25487602
Position Surface form Disambiguated ID Type / Status
Subject Melbourne tram route 19 E638754 entity
Predicate hasDirectionName P15156 FINISHED
Object City 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: City | Statement: [Melbourne tram route 19, hasDirectionName, City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDirectionName
Context triple: [Melbourne tram route 19, hasDirectionName, City]
  • A. hasDirectionInName
    Indicates that the entity’s name explicitly contains a directional term (e.g., north, south, east, west, or similar).
  • B. hasDirectionType
    Indicates that something possesses or is associated with a specific type or category of direction.
  • C. hasDirectionTitle
    Indicates that an entity holds the role or position of director, as specified by a particular title.
  • D. hasDirectionReference
    Indicates that one entity specifies or points to a directional orientation or reference frame for another entity.
  • E. hasRouteDirection chosen
    Indicates that a specified route is associated with a particular travel direction (e.g., inbound, outbound, northbound).
  • F. None of above.

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_69e75dbabeac8190bab30628f8b799d4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
Created at: April 21, 2026, 2:33 p.m.