Triple

T15040694
Position Surface form Disambiguated ID Type / Status
Subject Zinkensdamm E378590 entity
Predicate administrativeDivision P747 FINISHED
Object Södermalm stadsdelsområde E77995 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: Södermalm stadsdelsområde | Statement: [Zinkensdamm, administrativeDivision, Södermalm stadsdelsområde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Södermalm stadsdelsområde
Context triple: [Zinkensdamm, administrativeDivision, Södermalm stadsdelsområde]
  • A. Södermalm chosen
    Södermalm is a central island and district of Stockholm known for its vibrant cultural scene, historic architecture, and trendy shops, cafes, and nightlife.
  • B. Östermalm
    Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
  • C. Norrmalm
    Norrmalm is a central district of Stockholm, Sweden, known for its major commercial areas, cultural venues, and key transport hubs.
  • D. City – Norrmalm
    City – Norrmalm is a central district of Stockholm known for its major commercial areas, cultural institutions, and key transport hubs.
  • E. Norra Djurgården district
    Norra Djurgården district is a largely green, university- and park-dominated area in northeastern central Stockholm that includes parts of the Royal National City Park and Stockholm University’s main campus.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de388508190bb0ecc04740cbe15 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.