Triple

T4371942
Position Surface form Disambiguated ID Type / Status
Subject Sigurd Lewerentz E98915 entity
Predicate placeOfBirth P1 FINISHED
Object Sandviken E233001 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: Sandviken | Statement: [Sigurd Lewerentz, placeOfBirth, Sandviken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandviken
Context triple: [Sigurd Lewerentz, placeOfBirth, Sandviken]
  • A. Söderort
    Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
  • B. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • C. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • D. Vänersborg
    Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
  • E. Sandviken Municipality chosen
    Sandviken Municipality is a local government area in Gävleborg County, Sweden, known for its industrial heritage and the town of Sandviken, home to the steel company Sandvik.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521dffbc8190b9300a7f4f64bdc0 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50ec35481908cf1e1afffda19cb completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.