Triple

T5200811
Position Surface form Disambiguated ID Type / Status
Subject Orminge E117387 entity
Predicate hasFeature P182 FINISHED
Object Orminge centrum E117387 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: Orminge centrum | Statement: [Orminge, hasFeature, Orminge centrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orminge centrum
Context triple: [Orminge, hasFeature, Orminge centrum]
  • A. Orminge chosen
    Orminge is a residential district and commercial center in the eastern Stockholm urban area, located within Nacka Municipality in Sweden.
  • B. Ringsted
    Ringsted is a historic market town and transport hub located in the central part of the Danish island of Zealand.
  • C. Orting
    Orting is a small city in western Washington State known for its scenic setting in the Puyallup River Valley with views of Mount Rainier.
  • D. Horning
    Horning is a picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • E. Sundbyvester
    Sundbyvester is a district of Copenhagen located on Amager Island, known primarily as a residential urban area.
  • 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.