Triple

T3811834
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Mark E93153 entity
Predicate predecessor P97 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: [Duchy of Mark, predecessor, County of Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Mark
Context triple: [Duchy of Mark, predecessor, 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. 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.
  • E. Somerset County
    Somerset County is a rural, mountainous county in southwestern Pennsylvania known for its outdoor recreation, wind farms, and historic sites such as the Flight 93 National Memorial.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80faaa88190b05f8aec8aa5c44d completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb373ce4819082e2d6d6c204c392 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:16 p.m.