Triple

T5030579
Position Surface form Disambiguated ID Type / Status
Subject Land van Cuijk E113289 entity
Predicate containsSettlement P847 FINISHED
Object Mill E111891 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: Mill | Statement: [Land van Cuijk, containsSettlement, Mill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mill
Context triple: [Land van Cuijk, containsSettlement, Mill]
  • A. Mill chosen
    Mill is a village in the Dutch province of North Brabant, known for its historical sites and rural character.
  • B. Mill
    Mill is a prominent surname most famously associated with John Stuart Mill, the influential 19th-century British philosopher and political economist.
  • C. Wonderland
    Wonderland is a rapid transit station in Revere, Massachusetts, serving as the northern terminus of Boston’s MBTA Blue Line.
  • D. Wonderland
    Wonderland is a song by the British pop group Take That, known for its upbeat, anthemic style and inclusion on their 2017 album of the same name.
  • E. Wonderland
    Wonderland is a whimsical, surreal fantasy realm filled with peculiar characters and illogical rules, famously explored by Alice in Lewis Carroll’s classic stories and their adaptations.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73922a4c81908651c2d9b5e01cb6 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6859a88190bbf5688812f2eb91 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:36 p.m.