Triple

T5222264
Position Surface form Disambiguated ID Type / Status
Subject Christian Morgenstern E117896 entity
Predicate hasCollection P426 FINISHED
Object Palmström E504184 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: Palmström | Statement: [Christian Morgenstern, hasCollection, Palmström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmström
Context triple: [Christian Morgenstern, hasCollection, Palmström]
  • A. Palmström chosen
    Palmström is a whimsical, absurdist poetic character created by German writer Christian Morgenstern, featured in a series of humorous and satirical poems.
  • B. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • C. Pedersöre
    Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
  • D. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • E. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8059c808190aac709a199541ce7 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:48 p.m.