Triple

T20871032
Position Surface form Disambiguated ID Type / Status
Subject Lindholmen campus E513891 entity
Predicate near P350 FINISHED
Object Göta älv NE NERFINISHED

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: Göta älv | Statement: [Lindholmen campus, near, Göta älv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göta älv
Context triple: [Lindholmen campus, near, Göta älv]
  • A. Göta älv chosen
    Göta älv is a major river in southwestern Sweden that flows from Lake Vänern to the Kattegat, passing through the city of Gothenburg and serving as an important waterway for transport and industry.
  • B. Eskilstunaån
    Eskilstunaån is a river in central Sweden that drains Lake Hjälmaren and flows westward through the city of Eskilstuna toward Lake Mälaren.
  • C. Byälven
    Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
  • D. Västerdalälven
    Västerdalälven is a major river in central Sweden that forms one of the two main headwaters of the Dalälven, flowing through the Dalarna region.
  • E. Munksjöån
    Munksjöån is a river in Jönköping, Sweden, that drains Lake Munksjön and flows toward Lake Vättern through the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4649cf88190b3ad946576aa46aa completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.