Triple

T13972536
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg and France E336099 entity
Predicate FranceCapital P112006 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: [Luxembourg and France, FranceCapital, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Luxembourg and France, FranceCapital, 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. Paris
    Paris was an enslaved man held in bondage by George Washington at the President's House in Philadelphia during his presidency.
  • 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: FranceCapital
Context triple: [Luxembourg and France, FranceCapital, Paris]
  • A. countryCapitalOf
    Indicates that a country serves as the capital location for a specified political or geographic entity.
  • B. raceCapitalOf
    Indicates that the subject city is the primary center or capital for a particular race-related activity, event, or community.
  • C. countryCapitalLocatedIn
    Indicates that the capital city of a country is geographically situated within that country.
  • D. 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.
  • E. hostsCapitalOf
    Indicates that one location serves as the capital city of another administrative or political entity.
  • F. None of above. chosen

Provenance (5 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8eae40819080dd4bd25c73b6d6 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac802b7081909b36eebe85374594 completed May 6, 2026, 9:02 p.m.
PD Predicate disambiguation batch_69dd465a21408190b912a42c50ffa0d9 completed April 13, 2026, 7:39 p.m.
PDg Predicate description generation batch_69de01ed2098819088ec45069f6f2609 completed April 14, 2026, 8:59 a.m.
Created at: April 9, 2026, 10:18 p.m.