Triple

T3289815
Position Surface form Disambiguated ID Type / Status
Subject Essos E69073 entity
Predicate hasCity P316 FINISHED
Object 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.
 E343653 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: [Essos, hasCity, Lys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lys
Context triple: [Essos, hasCity, 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. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • C. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • D. Lasi
    Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
  • E. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • 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: [Essos, hasCity, Lys]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lys
Target entity description: 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.
  • 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. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • C. Lyness
    Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
  • D. Lasi
    Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
  • E. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05bd6b08190bcb9f0e5da82bc21 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e862835881909c2f3b8f86f10742 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8f6a7c48190bc457f348c3a7179 completed March 12, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69b2e986dcc88190bd3daa6c6fdcb50e completed March 12, 2026, 4:27 p.m.
Created at: March 8, 2026, 3:10 p.m.