Triple

T30311443
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg tavern E770933 entity
Predicate hasFictionalGeographicContext P150796 FINISHED
Object Nuremberg (fictionalized version)
Nuremberg (fictionalized version) is an imagined rendition of the historic German city, reinterpreted with altered geography, atmosphere, and narrative details to serve as a literary or artistic setting.
 E13122 NE FINISHED

How this triple was built (3 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: Nuremberg (fictionalized version) | Statement: [Nuremberg tavern, hasFictionalGeographicContext, Nuremberg (fictionalized version)]
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: Nuremberg (fictionalized version)
Triple: [Nuremberg tavern, hasFictionalGeographicContext, Nuremberg (fictionalized version)]
Generated description
Nuremberg (fictionalized version) is an imagined rendition of the historic German city, reinterpreted with altered geography, atmosphere, and narrative details to serve as a literary or artistic setting.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFictionalGeographicContext
Context triple: [Nuremberg tavern, hasFictionalGeographicContext, Nuremberg (fictionalized version)]
  • A. hasFictionalLocation
    Indicates that an entity is associated with, set in, or takes place within a location that exists only in fiction rather than in the real world.
  • B. hasFictionalCityContext chosen
    Indicates that something is associated with, set in, or contextualized by a fictional city.
  • C. fictionalGeographicRegion
    Indicates that a geographic region exists only in fiction or imagination rather than in the real world.
  • D. hasBranchInFictionalLocation
    Indicates that an organization maintains a branch, office, or presence within a fictional or imaginary location.
  • E. hasFictionalLandmark
    Indicates that one entity includes, features, or is associated with a landmark that is fictional rather than real.
  • F. None of above.

Provenance (6 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_69f22488f224819081b0f3ec41ab975c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdee770af48190aca2670db50f8b49 completed May 8, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276f1392fc8190bd5ac18306a9e8dc completed June 9, 2026, 1:40 a.m.
NEDg Description generation batch_6a276fbc1a7c8190baabedef642e6d23 completed June 9, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_6a27703697088190bbea27c5cbf929ae completed June 9, 2026, 1:45 a.m.
PD Predicate disambiguation batch_69fdecec98a08190a357d816dc2a6dbe completed May 8, 2026, 2:02 p.m.
Created at: April 29, 2026, 7:50 p.m.