Triple

T34566863
Position Surface form Disambiguated ID Type / Status
Subject Lilliput E887514 entity
Predicate rivalCountry P22658 FINISHED
Object Blefuscu NE NERFINISHED

How this triple was built (2 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: Blefuscu | Statement: [Lilliput, rivalCountry, Blefuscu]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rivalCountry
Context triple: [Lilliput, rivalCountry, Blefuscu]
  • A. rivalOf chosen
    Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
  • B. rivalryBetweenNationality2
    Indicates a competitive or adversarial relationship existing between two different nationalities.
  • C. primaryOpposingCountry
    Indicates that one country is the main or principal adversary or opponent of another country in a conflict, rivalry, or opposition.
  • D. opponentNationality
    Indicates that the related entity is the country or nationality of the opponent in a competitive or adversarial context.
  • E. biddingRivalCountry
    Indicates a relationship where one country competes with another in placing bids, typically for the same contract, project, or opportunity.
  • F. None of above.

Provenance (3 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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720671b2881909b5f85ea73a7a8fa completed May 3, 2026, 10:16 a.m.
PD Predicate disambiguation batch_69f71cc8074c81909ae09bea2acf1a09 completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 2:02 a.m.