Triple

T21306551
Position Surface form Disambiguated ID Type / Status
Subject Vechta district E525212 entity
Predicate hasMunicipality P847 FINISHED
Object Bakum 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: Bakum | Statement: [Vechta district, hasMunicipality, Bakum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakum
Context triple: [Vechta district, hasMunicipality, Bakum]
  • A. Bakum chosen
    Bakum is a small rural municipality in Lower Saxony, Germany, situated within the District of Vechta.
  • B. Shimonoseki
    Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
  • C. Nanjo
    Nanjo is a coastal city in southern Okinawa, Japan, known for its scenic landscapes, historic sites, and role as part of the greater Naha metropolitan area.
  • D. Imari Port
    Imari Port is a coastal harbor in western Japan known historically as a key shipping point for Imari porcelain and other regional goods.
  • E. Akkō
    Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa52a508190bb5dc806b6483574 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.