Triple

T6142508
Position Surface form Disambiguated ID Type / Status
Subject Trondheim E136993 entity
Predicate hasDistrict P459 FINISHED
Object Lade
Lade is a historic coastal district in Trondheim, Norway, known for its scenic peninsula, residential areas, and archaeological significance.
 E570937 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: Lade | Statement: [Trondheim, hasDistrict, Lade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lade
Context triple: [Trondheim, hasDistrict, Lade]
  • A. Ladd
    Ladd is a surname most prominently associated with American actress Diane Ladd and her family of performers.
  • B. Ladurlad
    Ladurlad is a central heroic figure in Robert Southey's epic poem "The Curse of Kehama," known for enduring a supernatural curse that renders him sleepless and invulnerable.
  • C. Laz
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • D. Latada
    Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
  • E. Chale
    Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
  • 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: Lade
Triple: [Trondheim, hasDistrict, Lade]
Generated description
Lade is a historic coastal district in Trondheim, Norway, known for its scenic peninsula, residential areas, and archaeological significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lade
Target entity description: Lade is a historic coastal district in Trondheim, Norway, known for its scenic peninsula, residential areas, and archaeological significance.
  • A. Ladd
    Ladd is a surname most prominently associated with American actress Diane Ladd and her family of performers.
  • B. Ladurlad
    Ladurlad is a central heroic figure in Robert Southey's epic poem "The Curse of Kehama," known for enduring a supernatural curse that renders him sleepless and invulnerable.
  • C. Laz
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • D. Latada
    Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
  • E. Chale
    Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb387ac8190a60579b59a741425 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135f2defc8190a666f82e230a51c2 completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c13679dd58819099036d1119fa370b completed March 23, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69c1376db6a0819087c0d0aebc2e2b3e completed March 23, 2026, 12:51 p.m.
Created at: March 22, 2026, 4:16 p.m.