Triple

T13084568
Position Surface form Disambiguated ID Type / Status
Subject Marieberg E310296 entity
Predicate nearbyDistrict P18717 FINISHED
Object Fredhäll E1021082 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: Fredhäll | Statement: [Marieberg, nearbyDistrict, Fredhäll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredhäll
Context triple: [Marieberg, nearbyDistrict, Fredhäll]
  • A. Fredhäll chosen
    Fredhäll is a residential district on the island of Kungsholmen in central Stockholm, Sweden, known for its functionalist-era apartment buildings and waterfront cliffs along Lake Mälaren.
  • B. Fredrikshamn
    Fredrikshamn (Hamina) is a coastal town in southeastern Finland that historically served as an important military and trading center.
  • C. Norlén
    Norlén is a Swedish surname most notably borne by politician Andreas Norlén, the Speaker of the Riksdag.
  • D. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • E. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e272629c8190926dbc9df447b6c4 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:02 p.m.