Triple

T1800267
Position Surface form Disambiguated ID Type / Status
Subject Golden Age of Science Fiction E39700 entity
Predicate notableWork P4 FINISHED
Object City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
 E201052 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: City | Statement: [Golden Age of Science Fiction, notableWork, City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City
Context triple: [Golden Age of Science Fiction, notableWork, City]
  • A. City Loop
    City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
  • B. المدينة
    المدينة هي الاسم العربي المختصر لمدينة المدينة المنورة، إحدى أقدس المدن في الإسلام وثاني أقدس موقع بعد مكة المكرمة.
  • C. Urban Jungle
    Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
  • D. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • E. New City
    New City is a suburban hamlet and census-designated place in Rockland County, New York, known as a residential and commercial center for the surrounding area.
  • 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: City
Triple: [Golden Age of Science Fiction, notableWork, City]
Generated description
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: City
Target entity description: "City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
  • A. City Loop
    City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
  • B. المدينة
    المدينة هي الاسم العربي المختصر لمدينة المدينة المنورة، إحدى أقدس المدن في الإسلام وثاني أقدس موقع بعد مكة المكرمة.
  • C. Urban Jungle
    Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
  • D. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • E. New City
    New City is a suburban hamlet and census-designated place in Rockland County, New York, known as a residential and commercial center for the surrounding area.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6569b2e48190a56cf48160796d2e completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d8da888190a88f3bd8036e19f4 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69c149081908b5b819c068a1ce2 completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8be528c819092a5e22b099fc2a0 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.