Triple

T19754458
Position Surface form Disambiguated ID Type / Status
Subject The City & the City E474467 entity
Predicate setting P1957 FINISHED
Object Besźel
Besźel is one of the two overlapping, culturally distinct Eastern European-style cities in China Miéville’s novel "The City & the City," known for its strict separation from its twin city Ul Qoma.
E1394731 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: Besźel | Statement: [The City & the City, setting, Besźel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Besźel
Context triple: [The City & the City, setting, Besźel]
  • A. Sadowie
    Sadowie is a village and the seat of a rural administrative district in south-eastern Poland.
  • B. Walporzheim
    Walporzheim is a renowned wine-producing village in Germany’s Ahr Valley, noted especially for its high-quality Spätburgunder (Pinot Noir) wines.
  • C. Ustilago
    Ustilago is a genus of parasitic fungi known for causing smut diseases in cereal and grass crops, notably corn smut.
  • D. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • E. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • 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: Besźel
Triple: [The City & the City, setting, Besźel]
Generated description
Besźel is one of the two overlapping, culturally distinct Eastern European-style cities in China Miéville’s novel "The City & the City," known for its strict separation from its twin city Ul Qoma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Besźel
Target entity description: Besźel is one of the two overlapping, culturally distinct Eastern European-style cities in China Miéville’s novel "The City & the City," known for its strict separation from its twin city Ul Qoma.
  • A. Sadowie
    Sadowie is a village and the seat of a rural administrative district in south-eastern Poland.
  • B. Walporzheim
    Walporzheim is a renowned wine-producing village in Germany’s Ahr Valley, noted especially for its high-quality Spätburgunder (Pinot Noir) wines.
  • C. Ustilago
    Ustilago is a genus of parasitic fungi known for causing smut diseases in cereal and grass crops, notably corn smut.
  • D. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • E. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529dada081909c5b4d65247c6032 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07bde28e848190aaa9c4a06b31bdb6 completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.