Triple

T8092833
Position Surface form Disambiguated ID Type / Status
Subject Teutonic Order state E188909 entity
Predicate capital P234 FINISHED
Object Marienburg E142537 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: Marienburg | Statement: [Teutonic Order state, capital, Marienburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marienburg
Context triple: [Teutonic Order state, capital, Marienburg]
  • A. Malbork chosen
    Malbork is a historic town in northern Poland best known for the vast medieval Malbork Castle, one of the largest brick castles in the world and a UNESCO World Heritage Site.
  • B. Chełmno
    Chełmno is a historic town in northern Poland, known for its well-preserved medieval Old Town and Gothic architecture.
  • C. Stettin
    Stettin, now known as Szczecin, is a major port city on the Oder River in northwestern Poland near the Baltic Sea.
  • D. Frankfurt (Oder)
    Frankfurt (Oder) is a German city on the Oder River at the Polish border, known as a historic university and trade center in the state of Brandenburg.
  • E. Neustrelitz
    Neustrelitz is a town in northeastern Germany known for hosting a key research center of the German Aerospace Center (DLR), particularly focused on satellite data and space-related technologies.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4222b68c81909c8bc326763240d0 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3438ae2481909549a05f195cda39 completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:30 p.m.