Triple

T8591908
Position Surface form Disambiguated ID Type / Status
Subject Sauvo E203446 entity
Predicate hasNeighbor P5707 FINISHED
Object Salo E116439 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: Salo | Statement: [Sauvo, hasNeighbor, Salo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salo
Context triple: [Sauvo, hasNeighbor, Salo]
  • A. Salo chosen
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • B. Tönisvorst
    Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
  • C. Zeruah
    Zeruah is a woman mentioned in the Hebrew Bible as the mother of Jeroboam I, the first king of the northern kingdom of Israel.
  • D. Jambon
    Jambon is a surname most notably associated with Belgian politician Jan Jambon.
  • E. Pitasch
    Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc466747b88190b752f78f361140cb completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8b584088190bc5b8b2785894d82 completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:23 p.m.