Triple

T2207522
Position Surface form Disambiguated ID Type / Status
Subject Moss E50834 entity
Predicate hasNeighbour P5707 FINISHED
Object Rygge
Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
 E244459 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: Rygge | Statement: [Moss, hasNeighbour, Rygge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rygge
Context triple: [Moss, hasNeighbour, Rygge]
  • A. Vilailuck Teigen
    Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
  • B. Tyge
    Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
  • C. Einar
    Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
  • D. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • E. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • 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: Rygge
Triple: [Moss, hasNeighbour, Rygge]
Generated description
Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rygge
Target entity description: Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
  • A. Vilailuck Teigen
    Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
  • B. Tyge
    Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
  • C. Einar
    Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
  • D. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • E. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654e22b48190bb40f7c61bb359b1 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae6608d3ac8190923cd6a6ce7c4c89 completed March 9, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a751f881908fda164de72dac9b completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:46 p.m.