Triple

T20086985
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Leiden E496160 entity
Predicate historicallyLocatedIn P5057 FINISHED
Object Holland 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: Holland | Statement: [Bishop of Leiden, historicallyLocatedIn, Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holland
Context triple: [Bishop of Leiden, historicallyLocatedIn, Holland]
  • A. Holland
    Holland is a regional less-than-truckload (LTL) freight carrier in the United States known for its operations in the Midwest and surrounding areas.
  • B. Holland
    Holland is a small settlement on the Orkney island of Stronsay in Scotland, known for its rural character and coastal surroundings.
  • C. Holland chosen
    Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
  • D. Holland
    Holland is a 1973 studio album by the Beach Boys, recorded partly in the Netherlands and noted for its reflective, atmospheric sound.
  • E. Holland
    Holland is a common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655ba40c8190adea0e271a1249cf completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:12 p.m.