Triple

T4219964
Position Surface form Disambiguated ID Type / Status
Subject Stadtholder of Mark E94314 entity
Predicate appliesToJurisdiction P82 FINISHED
Object County of Mark E83280 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: County of Mark | Statement: [Stadtholder of Mark, appliesToJurisdiction, County of Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Mark
Context triple: [Stadtholder of Mark, appliesToJurisdiction, County of Mark]
  • A. County of Mark chosen
    The County of Mark was a historic territorial principality of the Holy Roman Empire located in what is now North Rhine-Westphalia, Germany.
  • B. Warwick Parish
    Warwick Parish is one of Bermuda’s nine administrative parishes, known for its south shore beaches, residential communities, and coastal scenery on the main island.
  • C. Buteshire
    Buteshire is a historic county in western Scotland that encompassed the Isle of Bute and surrounding islands in the Firth of Clyde.
  • D. Langwasser district
    Langwasser district is a residential and commercial borough in the southeast of Nuremberg, Germany, developed largely in the post-World War II era.
  • E. Somerset County
    Somerset County is a suburban county in central New Jersey known for its residential communities, parks, and commuter access to the New York City metropolitan area.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0c84548190b051d32d434cbf04 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963ffacc8190843b60ea1b224f91 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.