Triple

T3817880
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Helsinki E84299 entity
Predicate capitalCityOffice P48856 FINISHED
Object yes 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: yes | Statement: [Mayor of Helsinki, capitalCityOffice, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capitalCityOffice
Context triple: [Mayor of Helsinki, capitalCityOffice, yes]
  • A. capitalCityHeadquarters
    Indicates that the headquarters of an organization or entity is located in the capital city of a specified region or country.
  • B. seatOfGovernment
    Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
  • C. capitalCityOfJurisdiction
    Indicates that one entity is the primary city serving as the official capital of the specified jurisdiction or governing region.
  • D. placeOfOffice chosen
    Indicates the location where an office or official position is held or based.
  • E. capitalLocation
    Indicates the relationship in which a place serves as the capital city or administrative center of a given political or geographic entity.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee74a2bc081909b237df8b1e27653 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:17 p.m.