Triple

T4478468
Position Surface form Disambiguated ID Type / Status
Subject Örebro County E100067 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Kumla E441832 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: Kumla | Statement: [Örebro County, hasUrbanCenter, Kumla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumla
Context triple: [Örebro County, hasUrbanCenter, Kumla]
  • A. Kumla Municipality chosen
    Kumla Municipality is a local government area in central Sweden known for its town of Kumla and its location within Örebro County.
  • B. Arjeplog
    Arjeplog is a sparsely populated municipality in northern Sweden known for its vast lake landscapes, subarctic climate, and significance as a cultural area for the Sámi people.
  • C. Kulm
    Kulm, now known as Chełmno in Poland, is a historic town on the Vistula River notable for its medieval architecture and role in the history of Royal Prussia.
  • D. Gällivare
    Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
  • E. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356db0a008190ad39b68efc095b8d completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63776ae008190a7668cddf1a42df3 completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:35 p.m.