Triple

T9990554
Position Surface form Disambiguated ID Type / Status
Subject Fennpfuhl locality E196873 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Weißensee E393549 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: Weißensee | Statement: [Fennpfuhl locality, hasNearbyLocality, Weißensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weißensee
Context triple: [Fennpfuhl locality, hasNearbyLocality, Weißensee]
  • A. Weißensee chosen
    Weißensee is a locality in Berlin known for its historic lake, residential neighborhoods, and cultural institutions, situated within the borough of Pankow.
  • B. Weissensee
    Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
  • C. Küssnachtersee
    Küssnachtersee is a narrow northern arm of Lake Lucerne in central Switzerland, bordered by picturesque lakeside villages and surrounded by gentle pre-Alpine hills.
  • D. Eibsee
    Eibsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear turquoise waters and dramatic setting at the foot of the Zugspitze.
  • E. Gebesee
    Gebesee is a small town in the German state of Thuringia, situated near the confluence of the Unstrut and Gera rivers and known for its agricultural surroundings.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc7a0cb6481908d7bd1b43f93bd18 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb12ac9c819087a182c12653792c completed April 9, 2026, 7:16 p.m.
Created at: March 30, 2026, 8:50 p.m.