Triple

T5457767
Position Surface form Disambiguated ID Type / Status
Subject 1984 Winter Olympics E122520 entity
Predicate biddingCity P7900 FINISHED
Object Lahti E207135 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: Lahti | Statement: [1984 Winter Olympics, biddingCity, Lahti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahti
Context triple: [1984 Winter Olympics, biddingCity, Lahti]
  • A. Lahti chosen
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • B. Lappeenranta
    Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
  • C. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • D. Tampere
    Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
  • E. Porvoo
    Porvoo is a historic coastal city in southern Finland known for its well-preserved wooden Old Town and medieval cathedral.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91f1cca48190afa15b8ccfea1f88 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1308a548190b49a8212c3f3f7f0 completed March 23, 2026, 2:10 a.m.
Created at: March 20, 2026, 2:08 p.m.