Triple

T22962450
Position Surface form Disambiguated ID Type / Status
Subject Lade E570937 entity
Predicate contains P35 FINISHED
Object Ladekaia
Ladekaia is a neighborhood or area within the Lade district of Trondheim, Norway, known for its coastal location and residential character.
 E1563090 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: Ladekaia | Statement: [Lade, contains, Ladekaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ladekaia
Context triple: [Lade, contains, Ladekaia]
  • A. Daleelva
    Daleelva is a river in Vaksdal Municipality in western Norway, known for flowing through steep valleys and contributing to the region’s hydropower and natural landscape.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Leitawa
    Leitawa is the German name for the Litava River, a watercourse located in Central Europe.
  • D. Ledaal
    Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
  • E. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • 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: Ladekaia
Triple: [Lade, contains, Ladekaia]
Generated description
Ladekaia is a neighborhood or area within the Lade district of Trondheim, Norway, known for its coastal location and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ladekaia
Target entity description: Ladekaia is a neighborhood or area within the Lade district of Trondheim, Norway, known for its coastal location and residential character.
  • A. Daleelva
    Daleelva is a river in Vaksdal Municipality in western Norway, known for flowing through steep valleys and contributing to the region’s hydropower and natural landscape.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Leitawa
    Leitawa is the German name for the Litava River, a watercourse located in Central Europe.
  • D. Ledaal
    Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
  • E. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f594fc8190816418486b798198 completed April 29, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca22caa88190889e965c78477a96 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcb1904c88190ac32e5709bc95858 completed May 19, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbb8793881909621b16c9ad51cbb completed May 19, 2026, 2:32 a.m.
Created at: April 17, 2026, 3:47 p.m.