Triple

T3690644
Position Surface form Disambiguated ID Type / Status
Subject Waidmannslust E78333 entity
Predicate borderedBy P224 FINISHED
Object Lübars E88245 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: Lübars | Statement: [Waidmannslust, borderedBy, Lübars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lübars
Context triple: [Waidmannslust, borderedBy, Lübars]
  • A. Lübars chosen
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • B. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • C. Pamiers
    Pamiers is a historic commune in southwestern France, known as the largest town in the Ariège department and noted for its medieval architecture and role as a local economic center.
  • D. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • E. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e6147c8190ae358e8cc94f479c completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c9e9c08190bd97642ccf39b172 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.