Triple

T12145236
Position Surface form Disambiguated ID Type / Status
Subject Norrköping E289301 entity
Predicate locatedOnWaterbody P1489 FINISHED
Object Motala ström E864246 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: Motala ström | Statement: [Norrköping, locatedOnWaterbody, Motala ström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motala ström
Context triple: [Norrköping, locatedOnWaterbody, Motala ström]
  • A. Motala Ström chosen
    Motala Ström is a river in Östergötland, Sweden, that drains Lake Vättern and flows eastward through several towns before reaching the Baltic Sea.
  • B. Motala
    Motala is a town in southern Sweden known for its location on Lake Vättern and its historic role as an industrial and canal hub.
  • C. Strömsbruk
    Strömsbruk is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • D. Kungälv
    Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
  • E. Trollbäcken
    Trollbäcken is a residential suburban district in the Stockholm County area of Sweden, known for its proximity to lakes and green spaces.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f696ec648190aa43655ac8a2b312 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.