Triple

T2656732
Position Surface form Disambiguated ID Type / Status
Subject Bruxelles-Central / Brussel-Centraal E54628 entity
Predicate countryCapitalStationFor P42022 FINISHED
Object capital city of Belgium 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: capital city of Belgium | Statement: [Bruxelles-Central / Brussel-Centraal, countryCapitalStationFor, capital city of Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryCapitalStationFor
Context triple: [Bruxelles-Central / Brussel-Centraal, countryCapitalStationFor, capital city of Belgium]
  • A. hostsCapitalOf
    Indicates that one location serves as the capital city of another administrative or political entity.
  • B. countryCapitalLocatedIn
    Indicates that the capital city of a country is geographically situated within that country.
  • C. capitalOfFrom
    Indicates that a city serves or served as the capital of a specified political entity during a particular time or from a particular source context.
  • D. countryCapitalOf
    Indicates that a country serves as the capital location for a specified political or geographic entity.
  • E. countryCapitalLocatedOn
    Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abda0ba2208190ad87763ecbef8c3c completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd815d06481909535c02b0aba8553 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abda0a13308190a986df86270258a7 completed March 7, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:53 p.m.