Triple

T19754314
Position Surface form Disambiguated ID Type / Status
Subject Perdido Street Station E474464 entity
Predicate partOfSeries P1761 FINISHED
Object Bas-Lag
Bas-Lag is the dark, imaginative secondary-world setting created by China Miéville for his New Weird fantasy novels, including Perdido Street Station.
 E1394721 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: Bas-Lag | Statement: [Perdido Street Station, partOfSeries, Bas-Lag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bas-Lag
Context triple: [Perdido Street Station, partOfSeries, Bas-Lag]
  • A. Lagar
    Lagar is a poetry collection by Chilean Nobel laureate Gabriela Mistral that reflects her mature, introspective, and often somber lyrical style.
  • B. Betlan
    Betlan is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountainous surroundings.
  • C. Baralaba
    Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • 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: Bas-Lag
Triple: [Perdido Street Station, partOfSeries, Bas-Lag]
Generated description
Bas-Lag is the dark, imaginative secondary-world setting created by China Miéville for his New Weird fantasy novels, including Perdido Street Station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bas-Lag
Target entity description: Bas-Lag is the dark, imaginative secondary-world setting created by China Miéville for his New Weird fantasy novels, including Perdido Street Station.
  • A. Lagar
    Lagar is a poetry collection by Chilean Nobel laureate Gabriela Mistral that reflects her mature, introspective, and often somber lyrical style.
  • B. Betlan
    Betlan is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountainous surroundings.
  • C. Baralaba
    Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • 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.