Triple

T6356056
Position Surface form Disambiguated ID Type / Status
Subject Zemst E142992 entity
Predicate locatedNearRiver P165 FINISHED
Object Senne E54627 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: Senne | Statement: [Zemst, locatedNearRiver, Senne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senne
Context triple: [Zemst, locatedNearRiver, Senne]
  • A. Senne chosen
    The Senne is a small river flowing through Brussels, Belgium, much of which has been covered over as the city developed.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Sabine
    Sabine is a surname most notably associated with Wallace Clement Sabine, the American physicist who founded the field of architectural acoustics.
  • D. Sabine
    The Sabines were an ancient Italic people of central Italy whose culture and traditions significantly influenced early Roman society.
  • E. Sabine
    Sabine is a lunar impact crater located on the Moon’s Mare Tranquillitatis, notable for its relatively smooth floor and association with nearby Apollo landing sites.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e22c00819089bc68efb85bc2c8 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5966a88190a7184157b235b170 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.