Triple

T17289791
Position Surface form Disambiguated ID Type / Status
Subject Gravettian E419753 entity
Predicate countryOfTypeSite P106340 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: [Gravettian, countryOfTypeSite, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Gravettian, countryOfTypeSite, 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. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. 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.
  • E. 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.
  • 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: countryOfTypeSite
Context triple: [Gravettian, countryOfTypeSite, France]
  • A. countryType
    Indicates the classification or category of a country based on a specified typology (e.g., political, economic, or geographic type).
  • B. countrySubject
    Indicates that the subject entity is a country that is the main actor, topic, or focus in the described relation or statement.
  • C. countryFound chosen
    Indicates that a particular country is the location where an entity was discovered, established, or first identified.
  • D. countryPortionIn
    Indicates that a specific part or region is located within the boundaries of a particular country.
  • E. countryStart
    Indicates that an entity marks the beginning or starting point of a country-related extent, boundary, or association.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43782b7ac8190b702567e9ccf9a35 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179445cac8190833eb7cd879a93bd completed May 11, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69e3b0118ad08190b119cd219c68ba67 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:40 a.m.