Triple

T14199249
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 42 E351919 entity
Predicate connects P390 FINISHED
Object Kaub E351915 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: Kaub | Statement: [Bundesstraße 42, connects, Kaub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaub
Context triple: [Bundesstraße 42, connects, Kaub]
  • A. Kaub chosen
    Kaub is a small historic town on the Rhine River in Germany, known for its well-preserved medieval architecture and riverside castle within the Upper Middle Rhine Valley UNESCO World Heritage landscape.
  • B. Kulja
    Kulja is the historical name for the city now known as Yining, a key urban center in China’s Xinjiang region along the Ili River.
  • C. Kahla
    Kahla is a small town in the Saale valley of eastern Thuringia, Germany, known for its porcelain manufacturing industry.
  • D. Käerjeng
    Käerjeng is a commune in southwestern Luxembourg known for its proximity to the Belgian border and its role as a local administrative and residential center.
  • E. Kupwara
    Kupwara is a town in the northern part of Jammu and Kashmir, India, known as a gateway to scenic valleys and forests near the Line of Control.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4676a2bc8190af239516ddbbf5e3 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:04 a.m.