Triple

T16303582
Position Surface form Disambiguated ID Type / Status
Subject European Automated Transfer Vehicle program E395848 entity
Predicate technologyContributor P122615 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: [European Automated Transfer Vehicle program, technologyContributor, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [European Automated Transfer Vehicle program, technologyContributor, 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: technologyContributor
Context triple: [European Automated Transfer Vehicle program, technologyContributor, France]
  • A. technologyPioneered
    Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
  • B. technologyPresent
    Indicates that a particular technology exists, is available, or is currently in use in the given context or situation.
  • C. technologyBasis
    Indicates that one entity is founded on, enabled by, or fundamentally relies upon the technology provided or represented by another entity.
  • D. technologyDiscussed
    Indicates that a conversation, text, or interaction includes discussion or mention of a particular technology.
  • E. technologyIncludes
    Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e35157481909e5604b7dae7a2a2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f740ec8190ab075c953e27cfba completed May 10, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
PDg Predicate description generation batch_69e21e56e0348190a3d9475360231a70 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:06 a.m.