Triple

T18163390
Position Surface form Disambiguated ID Type / Status
Subject Nordre Land E434824 entity
Predicate hasSettlement P1068 FINISHED
Object Torpa
Torpa is a rural village and parish area in Nordre Land municipality in Innlandet county, Norway, known for its agricultural landscape and traditional Norwegian countryside character.
E1309373 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: Torpa | Statement: [Nordre Land, hasSettlement, Torpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torpa
Context triple: [Nordre Land, hasSettlement, Torpa]
  • A. Torla
    Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
  • B. Torvalla
    Torvalla is a residential district and suburb of Östersund in Jämtland County, Sweden.
  • C. Toaripi
    Toaripi is a given name most notably borne by Toaripi Lauti, a political figure from Tuvalu.
  • D. Torola
    Torola is a small rural municipality located in the mountainous Morazán Department of northeastern El Salvador.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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: Torpa
Triple: [Nordre Land, hasSettlement, Torpa]
Generated description
Torpa is a rural village and parish area in Nordre Land municipality in Innlandet county, Norway, known for its agricultural landscape and traditional Norwegian countryside character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Torpa
Target entity description: Torpa is a rural village and parish area in Nordre Land municipality in Innlandet county, Norway, known for its agricultural landscape and traditional Norwegian countryside character.
  • A. Torla
    Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
  • B. Torvalla
    Torvalla is a residential district and suburb of Östersund in Jämtland County, Sweden.
  • C. Toaripi
    Toaripi is a given name most notably borne by Toaripi Lauti, a political figure from Tuvalu.
  • D. Torola
    Torola is a small rural municipality located in the mountainous Morazán Department of northeastern El Salvador.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec419788190a999a68f32fab39b completed April 19, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fc25f248190a9ac02acf968069f completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03908bd80081909f993408c7d2c96b completed May 12, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0390ebaed08190aea8a646e07cb1c4 completed May 12, 2026, 8:43 p.m.
Created at: April 10, 2026, 10:30 a.m.