Triple

T7609099
Position Surface form Disambiguated ID Type / Status
Subject Holmön archipelago E172185 entity
Predicate nearestCity P350 FINISHED
Object Umeå E232990 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: Umeå | Statement: [Holmön archipelago, nearestCity, Umeå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umeå
Context triple: [Holmön archipelago, nearestCity, Umeå]
  • A. Umeå chosen
    Umeå is a university city in northern Sweden known for its cultural scene, research institutions, and role as a regional economic hub.
  • B. Luleå
    Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
  • C. Skellefteå
    Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
  • D. Sundsvall
    Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
  • E. Uppsala
    Uppsala is a historic Swedish city north of Stockholm, known for its prestigious university, medieval cathedral, and role as a cultural and ecclesiastical center.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa1f6e888190ac6580724803fbc3 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9f798cbfc8190b1106298c3f211a5 completed March 30, 2026, 4:10 a.m.
Created at: March 27, 2026, 3:54 p.m.