Triple

T8147083
Position Surface form Disambiguated ID Type / Status
Subject Gunnar Berge E190239 entity
Predicate familyName P18 FINISHED
Object Berge
Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
 E712372 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: Berge | Statement: [Gunnar Berge, familyName, Berge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berge
Context triple: [Gunnar Berge, familyName, Berge]
  • A. Berg
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Berg
    Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
  • C. Berghaupten
    Berghaupten is a small municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its scenic location in the Black Forest region.
  • D. Lattengebirge
    Lattengebirge is a small mountain range in the Bavarian Alps of southeastern Germany, known for its distinctive rock formations and scenic hiking trails.
  • E. Giant Mountains
    The Giant Mountains are a high, rugged mountain range on the border between Poland and the Czech Republic, known for their alpine landscapes, unique ecosystems, and status as a popular hiking and winter sports destination.
  • 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: Berge
Triple: [Gunnar Berge, familyName, Berge]
Generated description
Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berge
Target entity description: Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
  • A. Berg
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Berg
    Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
  • C. Berghaupten
    Berghaupten is a small municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its scenic location in the Black Forest region.
  • D. Lattengebirge
    Lattengebirge is a small mountain range in the Bavarian Alps of southeastern Germany, known for its distinctive rock formations and scenic hiking trails.
  • E. Giant Mountains
    The Giant Mountains are a high, rugged mountain range on the border between Poland and the Czech Republic, known for their alpine landscapes, unique ecosystems, and status as a popular hiking and winter sports destination.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447d6b1881908ff3fa25af6b4e80 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94b667d88190a0b47c7e0e07f338 completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c228c08190a603c1dff44ff299 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc96b02d38819085eb51c1943b3045 completed April 1, 2026, 3:53 a.m.
Created at: March 30, 2026, 5:36 p.m.