Triple

T8290920
Position Surface form Disambiguated ID Type / Status
Subject TKK E193892 entity
Predicate locatedIn P40 FINISHED
Object Otaniemi E290450 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: Otaniemi | Statement: [TKK, locatedIn, Otaniemi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otaniemi
Context triple: [TKK, locatedIn, Otaniemi]
  • A. Otaniemi chosen
    Otaniemi is a district in Espoo, Finland, best known as a major hub of technology, research, and higher education, including the main campus of Aalto University.
  • B. Otaniemi campus
    Otaniemi campus is a major university campus area in Espoo, Finland, known for its concentration of technology and engineering education, research, and innovation facilities.
  • C. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • D. Ikeja
    Ikeja is a major commercial and administrative hub in Nigeria, serving as the capital of Lagos State and hosting numerous businesses, government offices, and the Murtala Muhammed International Airport.
  • E. Munkkiniemi
    Munkkiniemi is a residential district in western Helsinki, Finland, known for its seaside location, parks, and notable architecture.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c9b65e0819083ddc82fb7c4a5f3 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd952399dc8190914951d4e9e36c38 completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:52 p.m.