Triple

T15908289
Position Surface form Disambiguated ID Type / Status
Subject Florin E385780 entity
Predicate hasPoliticalTensionWith P53440 FINISHED
Object Guilder E1183675 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: Guilder | Statement: [Florin, hasPoliticalTensionWith, Guilder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guilder
Context triple: [Florin, hasPoliticalTensionWith, Guilder]
  • A. Guilder chosen
    Guilder is a fictional rival nation to Florin in William Goldman’s novel and the film "The Princess Bride."
  • B. Arent de Gelder
    Arent de Gelder was a Dutch Baroque painter and one of the last and most devoted pupils of Rembrandt, known for his dramatic use of light and expressive biblical scenes.
  • C. Nassau-Breda
    Nassau-Breda was a branch of the House of Nassau that held extensive lands and influence centered around the city of Breda in the Low Countries.
  • D. Count of Holland
    Count of Holland was a medieval noble title associated with the ruler of the County of Holland, a significant political and economic region in the Low Countries.
  • E. Wolkenburg
    Wolkenburg is a prominent hill in Germany’s Siebengebirge range, known for its volcanic origin and scenic views over the Rhine Valley.
  • 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: hasPoliticalTensionWith
Context triple: [Florin, hasPoliticalTensionWith, Guilder]
  • A. diplomaticTensionBetween chosen
    Indicates a strained or conflict-prone diplomatic relationship existing between two entities.
  • B. doesNotHaveFormalPeaceTreatyWith
    Indicates that no official, legally binding peace treaty exists between the two entities.
  • C. politicalRelation
    Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
  • D. countryAtWarWith
    Indicates that two countries are engaged in an active state of war or armed conflict with each other.
  • E. conflictCountry
    Indicates that there is an armed conflict or war involving the referenced country as a participant.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a5b0dc81909606d667c3bc0edf completed May 9, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69e142ca3b208190946c3aa4c1e6087c completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:52 a.m.