Triple

T5180306
Position Surface form Disambiguated ID Type / Status
Subject Gauja E116902 entity
Predicate passesThrough P225 FINISHED
Object Cēsis E498325 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: Cēsis | Statement: [Gauja, passesThrough, Cēsis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cēsis
Context triple: [Gauja, passesThrough, Cēsis]
  • A. Cēsis chosen
    Cēsis is a historic town in northern Latvia known for its medieval castle, well-preserved old town, and role in Latvian cultural and national history.
  • B. Jekabpils
    Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
  • C. Bauska
    Bauska is a historic town in southern Latvia known for its medieval castle and location at the confluence of the Mūsa and Mēmele rivers, which form the Lielupe.
  • D. Kuldīga
    Kuldīga is a historic town in western Latvia known for its well-preserved old town and proximity to the Venta Rapid, one of Europe’s widest natural waterfalls.
  • E. Valmiera
    Valmiera is a historic city in northern Latvia, situated on the Gauja River and known today as a regional economic and cultural center in the Vidzeme 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799a322c8190b8a590cfe70761f5 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9553bc0819082a37a83a3edf7e8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.