Triple

T8391471
Position Surface form Disambiguated ID Type / Status
Subject Rue de Maubeuge E197951 entity
Predicate hasCountryCapitalCity P67831 FINISHED
Object Paris E568 NE FINISHED

How this triple was built (3 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: Paris | Statement: [Rue de Maubeuge, hasCountryCapitalCity, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Rue de Maubeuge, hasCountryCapitalCity, Paris]
  • A. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • B. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • C. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • E. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountryCapitalCity
Context triple: [Rue de Maubeuge, hasCountryCapitalCity, Paris]
  • A. homeCountryCapital
    Indicates that a given city is the capital of a specified country that serves as an entity’s home or origin.
  • B. countryCapitalLocatedIn
    Indicates that the capital city of a country is geographically situated within that country.
  • C. connectsCapitalOf
    Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
  • D. 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).
  • E. countryCapitalRelation chosen
    Indicates that one entity is the capital city of the country represented by the other entity.
  • F. None of above.

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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d8a7eb48190bc1bebc56a46a5b9 completed April 2, 2026, 11:05 a.m.
PD Predicate disambiguation batch_69cb70d24b248190a326aa6804f942b5 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:03 p.m.