Triple

T15845244
Position Surface form Disambiguated ID Type / Status
Subject Burgberg cable car E384196 entity
Predicate locatedOnHill P43358 FINISHED
Object Burgberg
Burgberg is a hill known for hosting the Burgberg cable car, a popular ascent route and viewpoint in its region.
E1185761 NE FINISHED

How this triple was built (4 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: Burgberg | Statement: [Burgberg cable car, locatedOnHill, Burgberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgberg
Context triple: [Burgberg cable car, locatedOnHill, Burgberg]
  • A. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • B. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • C. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • D. Bardenbach
    Bardenbach is a village and district of the town of Wadern in the Saarland region of western Germany.
  • E. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Burgberg
Triple: [Burgberg cable car, locatedOnHill, Burgberg]
Generated description
Burgberg is a hill known for hosting the Burgberg cable car, a popular ascent route and viewpoint in its region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Burgberg
Target entity description: Burgberg is a hill known for hosting the Burgberg cable car, a popular ascent route and viewpoint in its region.
  • A. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • B. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • C. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • D. Bardenbach
    Bardenbach is a village and district of the town of Wadern in the Saarland region of western Germany.
  • E. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • F. None of above. chosen

Provenance (5 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca636048190bc89cd8b4efa89e9 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe69332c81909aa57e64de163cbe completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:50 a.m.