Triple

T11501490
Position Surface form Disambiguated ID Type / Status
Subject Paris Square E272673 entity
Predicate hasCountryCapitalAsEponym P21562 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: [Paris Square, hasCountryCapitalAsEponym, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Paris Square, hasCountryCapitalAsEponym, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. 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.
  • 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: hasCountryCapitalAsEponym
Context triple: [Paris Square, hasCountryCapitalAsEponym, Paris]
  • A. hasCapitalNamedAfter
    Indicates that one entity serves as the capital of another entity and that this capital is named after the other entity.
  • B. capitalOftenLocatedIn
    Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
  • C. hasPlaceNamedAfter chosen
    Indicates that one place is named in honor of or derived from the name of another place.
  • D. cityNamedAfter
    Indicates that one city derives its name from or was named in honor of another entity, such as a person, place, or concept.
  • 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.

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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624600e0081909cc6f53c05a34efb completed April 20, 2026, 1:04 p.m.
PD Predicate disambiguation batch_69d808736c5c8190899b5b3b2e797f65 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.