Triple

T3289818
Position Surface form Disambiguated ID Type / Status
Subject Essos E69073 entity
Predicate hasCity P316 FINISHED
Object Norvos
Norvos is a theocratic, heavily fortified Free City in northern Essos known for its bearded priesthood and strict, austere culture.
 E343655 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: Norvos | Statement: [Essos, hasCity, Norvos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norvos
Context triple: [Essos, hasCity, Norvos]
  • A. Loëx
    Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • B. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • C. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • D. Navolato
    Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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: Norvos
Triple: [Essos, hasCity, Norvos]
Generated description
Norvos is a theocratic, heavily fortified Free City in northern Essos known for its bearded priesthood and strict, austere culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norvos
Target entity description: Norvos is a theocratic, heavily fortified Free City in northern Essos known for its bearded priesthood and strict, austere culture.
  • A. Loëx
    Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • B. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • C. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • D. Navolato
    Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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.