Triple

T14028542
Position Surface form Disambiguated ID Type / Status
Subject Hadeland E337526 entity
Predicate hasSettlement P1068 FINISHED
Object Roal
Roal is a small settlement located in the Hadeland district of southeastern Norway.
 E1074836 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: Roal | Statement: [Hadeland, hasSettlement, Roal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roal
Context triple: [Hadeland, hasSettlement, Roal]
  • A. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • B. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • C. Rolf
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • D. Rollot
    Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
  • E. Rallo
    Rallo is a young, mischievous character from the animated television series "The Cleveland Show," known for his precocious attitude and comedic antics.
  • 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: Roal
Triple: [Hadeland, hasSettlement, Roal]
Generated description
Roal is a small settlement located in the Hadeland district of southeastern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roal
Target entity description: Roal is a small settlement located in the Hadeland district of southeastern Norway.
  • A. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • B. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • C. Rolf
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • D. Rollot
    Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
  • E. Rallo
    Rallo is a young, mischievous character from the animated television series "The Cleveland Show," known for his precocious attitude and comedic antics.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc335a474819084c310b10e0ded9a completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc51585608190817e9a80666b7740 completed May 6, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69fbc57bf4188190aace2c976d842b43 completed May 6, 2026, 10:49 p.m.
Created at: April 9, 2026, 10:20 p.m.