Triple

T4805472
Position Surface form Disambiguated ID Type / Status
Subject Against the Fall of Night E106935 entity
Predicate setting P1957 FINISHED
Object Lys
Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
 E469494 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: Lys | Statement: [Against the Fall of Night, setting, Lys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lys
Context triple: [Against the Fall of Night, setting, Lys]
  • A. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • B. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • C. Lyss
    Lyss is a Swiss municipality in the canton of Bern, known as a regional transport hub and residential town within the greater Bern area.
  • D. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • E. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • 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: Lys
Triple: [Against the Fall of Night, setting, Lys]
Generated description
Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lys
Target entity description: Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • A. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • B. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • C. Lyss
    Lyss is a Swiss municipality in the canton of Bern, known as a regional transport hub and residential town within the greater Bern area.
  • D. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • E. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c678e58819094cdf18d8c5ea96f completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be440706888190a5f62bef629d3777 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be45e0c5a48190b9e390048c863f06 completed March 21, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69be46ef17588190a9bc179029e0a6a0 completed March 21, 2026, 7:21 a.m.
Created at: March 20, 2026, 1:23 p.m.