Triple

T7761396
Position Surface form Disambiguated ID Type / Status
Subject Strängnäs E176028 entity
Predicate locatedEastOf P4240 FINISHED
Object Eskilstuna E203558 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: Eskilstuna | Statement: [Strängnäs, locatedEastOf, Eskilstuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eskilstuna
Context triple: [Strängnäs, locatedEastOf, Eskilstuna]
  • A. Eskilstuna chosen
    Eskilstuna is an industrial city in central Sweden known historically for its metalworking and engineering industries.
  • B. Enköping
    Enköping is a small Swedish town known for its numerous themed parks and gardens, often called “Sweden’s nearest town” due to its central location relative to several major cities.
  • C. Karlshamn
    Karlshamn is a coastal town in southern Sweden known for its harbor, archipelago, and role as a regional industrial and transport hub.
  • D. Nyköping
    Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
  • E. Södertälje
    Södertälje is a Swedish city southwest of Stockholm known for its industrial heritage, diverse population, and strategic location linking Lake Mälaren with the Baltic Sea via the Södertälje Canal.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c704036c588190a441e56c738cc309 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55cd2fa88190955c3c1cebea0cca completed March 31, 2026, 11:16 p.m.
Created at: March 27, 2026, 4:09 p.m.