Triple

T2490419
Position Surface form Disambiguated ID Type / Status
Subject Old City Hall (Toronto) E52025 entity
Predicate wasLargestMunicipalBuildingIn P39757 FINISHED
Object North America at time of completion 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: North America at time of completion | Statement: [Old City Hall (Toronto), wasLargestMunicipalBuildingIn, North America at time of completion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasLargestMunicipalBuildingIn
Context triple: [Old City Hall (Toronto), wasLargestMunicipalBuildingIn, North America at time of completion]
  • A. wasTallestStructureIn
    Indicates that one structure held the status of being the tallest within a specified place or during a specified time period.
  • B. formerLargestCity
    Indicates that a city was previously the largest city (by population or size) within a given region or context, but no longer holds that status.
  • C. usedAsCityHallUntil
    Indicates that a building or location functioned as the city hall up to a specified end date or time period.
  • D. usedAsCityHallFrom
    Indicates that a building or location functioned as the official city hall of a municipality during a specified time period.
  • E. isLargestParkOf
    Indicates that a park is the largest park within a specified area, region, or administrative entity.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd18fe32081909580c6272a6013c5 completed March 7, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69abd0b980b481908d4932bcea4a6167 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1318f7881908a8fc42943df4879 completed March 7, 2026, 7:18 a.m.
Created at: March 6, 2026, 9:45 p.m.