Triple

T190145
Position Surface form Disambiguated ID Type / Status
Subject Paul E3700 entity
Predicate commonInCountry P7827 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: [Paul, commonInCountry, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: France
Context triple: [Paul, commonInCountry, 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. Brittany
    Brittany is a historic cultural region in northwest France known for its distinct Celtic heritage, Breton language, rugged coastline, and strong Catholic traditions.
  • C. Saint Pierre and Miquelon (France)
    Saint Pierre and Miquelon (France) is a small French overseas territorial collectivity off the coast of Newfoundland, Canada, and the last remaining vestige of France’s former North American colonial empire.
  • D. Belgium
    Belgium is a Western European country known for its role as a founding member of major international organizations, including NATO and the European Union, and for hosting many of their key institutions.
  • E. Francophonie
    Francophonie is the global community of French-speaking countries, regions, and peoples connected by the use of the French language and shared cultural and institutional ties.
  • 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: commonInCountry
Context triple: [Paul, commonInCountry, France]
  • A. typicalCountryIncluded
    Indicates that a country is commonly or characteristically included within a given grouping, context, or set.
  • B. usedInCountry
    Indicates that something is utilized, applied, or in operation within the specified country.
  • C. hasCountry
    Indicates that one entity possesses, is associated with, or is located within a specific country.
  • D. associatedCountry
    Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
  • E. relatedCountry
    Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594c385481909e1e088e45c460a4 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a364724e588190b8b33bdb5d836e50 completed Feb. 28, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69a25673ce3c8190b1a3df5b814a0595 completed Feb. 28, 2026, 2:44 a.m.
PDg Predicate description generation batch_69a258fbd18881908c9d40f7a2480945 completed Feb. 28, 2026, 2:54 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.