Triple

T20357355
Position Surface form Disambiguated ID Type / Status
Subject Saku Parish E496684 entity
Predicate hasSettlement P1068 FINISHED
Object Saku 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: Saku | Statement: [Saku Parish, hasSettlement, Saku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saku
Context triple: [Saku Parish, hasSettlement, Saku]
  • A. Saku
    Saku is a Finnish given name most notably borne by former NHL and Montreal Canadiens captain Saku Koivu.
  • B. Saku chosen
    Saku is a small town in northern Estonia known for its role as a local administrative center and for its historic brewery.
  • C. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • D. Sakari
    Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
  • E. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67854c0448190ab10363f8a218afb completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.