Triple

T5200776
Position Surface form Disambiguated ID Type / Status
Subject Sickla E117386 entity
Predicate near P350 FINISHED
Object Hammarby Sjöstad E390853 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: Hammarby Sjöstad | Statement: [Sickla, near, Hammarby Sjöstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammarby Sjöstad
Context triple: [Sickla, near, Hammarby Sjöstad]
  • A. Hammarby Sjöstad chosen
    Hammarby Sjöstad is a modern, sustainably planned waterfront district in Stockholm known for its eco-friendly architecture and urban design.
  • B. Östermalm
    Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
  • C. Södermalm
    Södermalm is a central island and district of Stockholm known for its vibrant cultural scene, historic architecture, and trendy shops, cafes, and nightlife.
  • D. Kungsholmen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • E. Norrmalm
    Norrmalm is a central district of Stockholm, Sweden, known for its major commercial areas, cultural venues, and key transport hubs.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a228e2c81908bfbd48ed9f2cd5e completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefc60abc8190a0abcaf8b42dfe3d completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:47 p.m.