Triple

T8700008
Position Surface form Disambiguated ID Type / Status
Subject Gallen-Kallela Museum E206505 entity
Predicate locatedIn P40 FINISHED
Object Tarvaspää E750943 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: Tarvaspää | Statement: [Gallen-Kallela Museum, locatedIn, Tarvaspää]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarvaspää
Context triple: [Gallen-Kallela Museum, locatedIn, Tarvaspää]
  • A. Tarvaspää chosen
    Tarvaspää is a historic artist’s studio and home in Espoo, Finland, best known as the residence and workplace of painter Akseli Gallen-Kallela and now functioning as a museum.
  • B. Järveotsa
    Järveotsa is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • C. Oripää
    Oripää is a small rural municipality in southwestern Finland known for its agricultural landscape and proximity to the town of Loimaa.
  • D. Mustamäe
    Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
  • E. Kivimäe
    Kivimäe is a residential subdistrict within the Nõmme district of Tallinn, Estonia, known for its green, suburban character.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b27bd48190a5f76111ee657553 completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28a0dd708190b12872883a2276c8 completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:34 p.m.