Triple

T8896426
Position Surface form Disambiguated ID Type / Status
Subject Blixem E211815 entity
Predicate listedWith P31874 FINISHED
Object Donder E195056 NE FINISHED

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: Donder | Statement: [Blixem, listedWith, Donder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donder
Context triple: [Blixem, listedWith, Donder]
  • A. Donder chosen
    Donder is one of Santa Claus’s traditional reindeer, often listed alongside Dancer and the other members of his Christmas sleigh team.
  • B. Estwedus
    Estwedus is the ancient name of the city now known as Aspendos, a prominent Greco-Roman settlement in Pamphylia, famed for its well-preserved Roman theater in modern-day Turkey.
  • C. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • D. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • E. Everardus
    Everardus is a Latinized given name historically used in medieval and early modern Europe, derived from the Germanic name Everard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61bfec0881908e4ef5b7f0e6b542 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac02974881908a7e8d9cfa47e624 completed April 3, 2026, 12:01 p.m.
Created at: March 30, 2026, 6:54 p.m.