Triple

T13843118
Position Surface form Disambiguated ID Type / Status
Subject French Bee E332715 entity
Predicate operatingLicenseCountry P102819 FINISHED
Object France E861 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: France | Statement: [French Bee, operatingLicenseCountry, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [French Bee, operatingLicenseCountry, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • C. Pays Royannais
    Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
  • D. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • E. Francie
    Francie is a diminutive given name, typically used as a nickname for Francis or Frances.
  • 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: operatingLicenseCountry
Context triple: [French Bee, operatingLicenseCountry, France]
  • A. countryOfLicence chosen
    Indicates the country that has issued or granted a particular licence.
  • B. licenseProductionCountry
    Indicates the country in which the license for producing something (e.g., a work, product, or media) was issued or is legally based.
  • C. operatedUnderLicenseFrom
    Indicates that one entity conducts its activities or uses certain rights with formal permission granted by another entity that holds the original authority or ownership.
  • D. stateOfLicense
    Indicates the jurisdiction or state that has issued or governs the relevant license.
  • E. operatesInCountries
    Indicates that an entity conducts its activities or business within the specified countries.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce667c248190a9d0a0f1e9e228ae completed May 3, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69dbc86668e08190ba9135d1c3f38d35 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:13 p.m.