Triple

T821756
Position Surface form Disambiguated ID Type / Status
Subject Lillehammer E17762 entity
Predicate hasDistrict P459 FINISHED
Object Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
 E124927 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: Nordre Ål | Statement: [Lillehammer, hasDistrict, Nordre Ål]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nordre Ål
Context triple: [Lillehammer, hasDistrict, Nordre Ål]
  • A. Søre Ål
    Søre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
  • B. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • C. Glomma
    Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
  • D. Sognefjord
    Sognefjord is Norway’s longest and deepest fjord, renowned for its dramatic cliffs, glacial landscapes, and scenic coastal villages.
  • E. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • 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: Nordre Ål
Triple: [Lillehammer, hasDistrict, Nordre Ål]
Generated description
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nordre Ål
Target entity description: Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
  • A. Søre Ål
    Søre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
  • B. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • C. Glomma
    Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
  • D. Sognefjord
    Sognefjord is Norway’s longest and deepest fjord, renowned for its dramatic cliffs, glacial landscapes, and scenic coastal villages.
  • E. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7aea38819092a0860ec6e2a033 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac427fffe88190b28bd1b660bb90fe completed March 7, 2026, 3:21 p.m.
NEDg Description generation batch_69ac431f9ebc81908bcc9b259b2e47a8 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43a2a294819095cf58c39118389f completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:38 p.m.