Triple

T5200819
Position Surface form Disambiguated ID Type / Status
Subject Orminge E117387 entity
Predicate locatedNear P294 FINISHED
Object Baggensfjärden E109114 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: Baggensfjärden | Statement: [Orminge, locatedNear, Baggensfjärden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baggensfjärden
Context triple: [Orminge, locatedNear, Baggensfjärden]
  • A. Bornsjön
    Bornsjön is a lake in Stockholm County, Sweden, known as a protected freshwater reservoir and nature area near Salem.
  • B. Munksjön
    Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
  • C. Bällstaån
    Bällstaån is a small river in the Stockholm area of Sweden that flows through several suburbs before emptying into Bällstaviken.
  • D. Saltsjön chosen
    Saltsjön is a bay of the Baltic Sea forming part of the inner Stockholm archipelago and the main sea approach to central Stockholm.
  • E. Vallentunasjön
    Vallentunasjön is a lake in Stockholm County, Sweden, known for its birdlife, recreational activities, and proximity to the town of Vallentuna.
  • 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_69bee0a6698c81908cc1fc7c15ffa5b7 completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:47 p.m.