Triple

T21807749
Position Surface form Disambiguated ID Type / Status
Subject Emmaboda Municipality E538390 entity
Predicate hasRailwayJunction P918 FINISHED
Object Emmaboda NE NERFINISHED

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: Emmaboda | Statement: [Emmaboda Municipality, hasRailwayJunction, Emmaboda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmaboda
Context triple: [Emmaboda Municipality, hasRailwayJunction, Emmaboda]
  • A. Emmaboda chosen
    Emmaboda is a small town in southeastern Sweden known for its railway junction and as the administrative center of Emmaboda Municipality in Kalmar County.
  • B. Bodden
    Bodden is an English-origin surname most commonly associated with families from the Cayman Islands and other parts of the Caribbean.
  • C. Lessebo
    Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
  • D. Mayen
    Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
  • E. Mayen
    Mayen is a town in western Germany’s Rhineland-Palatinate region, known for its historic castle and role as a local economic and cultural center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f078047ca88190a0efa4bc7f2faf80 completed April 28, 2026, 9:04 a.m.
Created at: April 16, 2026, 6:53 p.m.