Triple

T416716
Position Surface form Disambiguated ID Type / Status
Subject Parliament of Norway E8007 entity
Predicate previousChamber P14624 FINISHED
Object Lagting
Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
 E52882 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: Lagting | Statement: [Parliament of Norway, previousChamber, Lagting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagting
Context triple: [Parliament of Norway, previousChamber, Lagting]
  • A. Lacringi
    The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
  • B. Loscutoff
    Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
  • C. Leto
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • D. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • E. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • 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: Lagting
Triple: [Parliament of Norway, previousChamber, Lagting]
Generated description
Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lagting
Target entity description: Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
  • A. Lacringi
    The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
  • B. Loscutoff
    Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
  • C. Leto
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • D. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • E. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2f01be4108190b4c13346afd95a03 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a423a4debc819098e13855b550a72e completed March 1, 2026, 11:31 a.m.
NEDg Description generation batch_69a42418a28c81909ee31dfb1819b87f completed March 1, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_69a42486e1e08190b7603c34d625da7c completed March 1, 2026, 11:35 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.