Triple

T9064334
Position Surface form Disambiguated ID Type / Status
Subject Satakunta E217205 entity
Predicate containsMunicipality P852 FINISHED
Object Rauma E212942 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: Rauma | Statement: [Satakunta, containsMunicipality, Rauma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rauma
Context triple: [Satakunta, containsMunicipality, Rauma]
  • A. Rauma chosen
    Rauma is a coastal town in western Finland known for its well-preserved wooden Old Town, a UNESCO World Heritage Site, and its maritime and industrial heritage.
  • B. Rauma
    Rauma is a municipality in western Norway known for its dramatic fjord and mountain landscapes, including the Romsdalen valley and Trollveggen cliff.
  • C. Rieste
    Rieste is a small municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • D. Mummela
    Mummela is the traditional troupe of performers in the South Indian folk theatre form Yakshagana, responsible for enacting its mythological dance-drama narratives.
  • E. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01798a79081909885a8e61bf04dc3 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:11 p.m.