Triple

T9210181
Position Surface form Disambiguated ID Type / Status
Subject Numansdorp E221091 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Strijen E70506 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: Strijen | Statement: [Numansdorp, hasNearbySettlement, Strijen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strijen
Context triple: [Numansdorp, hasNearbySettlement, Strijen]
  • A. Strijen chosen
    Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
  • B. Vojna krajina
    Vojna krajina was a militarized borderland of the Habsburg Monarchy established as a defensive buffer against the Ottoman Empire, inhabited largely by frontier soldiers granted land in exchange for military service.
  • C. Strijdom
    Strijdom is a surname most notably associated with J. G. Strijdom, a former Prime Minister of South Africa and prominent National Party politician.
  • D. Kampen
    Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
  • E. Kampen
    Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b54520819087030148dadd6385 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065efcb64819097d4624bd9e423d2 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:26 p.m.