Triple

T15243567
Position Surface form Disambiguated ID Type / Status
Subject Rana Municipality E364318 entity
Predicate contains P35 FINISHED
Object Gruben
Gruben is a village in Nordland county, Norway, known as a residential area of the town of Mo i Rana within Rana Municipality.
 E1145496 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: Gruben | Statement: [Rana Municipality, contains, Gruben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gruben
Context triple: [Rana Municipality, contains, Gruben]
  • A. Grube
    Grube is a small municipality in the Wagria region of Schleswig-Holstein in northern Germany, known for its rural character and proximity to the Baltic Sea coast.
  • B. Grabe
    Grabe is a surname most notably associated with Ronald J. Grabe, an American astronaut and former NASA Space Shuttle commander.
  • C. Grubnitz
    Grubnitz is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • D. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • E. Labský důl
    Labský důl is a glacial valley in the Krkonoše Mountains of the Czech Republic, known as the upper valley of the Elbe River and a popular hiking 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: Gruben
Triple: [Rana Municipality, contains, Gruben]
Generated description
Gruben is a village in Nordland county, Norway, known as a residential area of the town of Mo i Rana within Rana Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gruben
Target entity description: Gruben is a village in Nordland county, Norway, known as a residential area of the town of Mo i Rana within Rana Municipality.
  • A. Grube
    Grube is a small municipality in the Wagria region of Schleswig-Holstein in northern Germany, known for its rural character and proximity to the Baltic Sea coast.
  • B. Grabe
    Grabe is a surname most notably associated with Ronald J. Grabe, an American astronaut and former NASA Space Shuttle commander.
  • C. Grubnitz
    Grubnitz is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • D. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • E. Labský důl
    Labský důl is a glacial valley in the Krkonoše Mountains of the Czech Republic, known as the upper valley of the Elbe River and a popular hiking 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd461cf08190a506aac2f0cec83a completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.