Triple

T3289813
Position Surface form Disambiguated ID Type / Status
Subject Essos E69073 entity
Predicate hasCity P316 FINISHED
Object Pentos
Pentos is a wealthy Free City on the western coast of Essos in the world of *A Song of Ice and Fire* and *Game of Thrones*, known for its trade, politics, and proximity to Westeros.
E343651 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: Pentos | Statement: [Essos, hasCity, Pentos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pentos
Context triple: [Essos, hasCity, Pentos]
  • A. Pectacon
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • B. Sakkarin
    Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • C. Perka
    Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • D. Meads
    Meads is a surname most notably associated with New Zealand rugby legend Colin Meads.
  • E. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • 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: Pentos
Triple: [Essos, hasCity, Pentos]
Generated description
Pentos is a wealthy Free City on the western coast of Essos in the world of *A Song of Ice and Fire* and *Game of Thrones*, known for its trade, politics, and proximity to Westeros.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pentos
Target entity description: Pentos is a wealthy Free City on the western coast of Essos in the world of *A Song of Ice and Fire* and *Game of Thrones*, known for its trade, politics, and proximity to Westeros.
  • A. Pectacon
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • B. Sakkarin
    Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • C. Perka
    Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • D. Meads
    Meads is a surname most notably associated with New Zealand rugby legend Colin Meads.
  • E. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • 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.