Triple

T1799840
Position Surface form Disambiguated ID Type / Status
Subject The Currents of Space E39690 entity
Predicate setting P1957 FINISHED
Object Trantor
Trantor is the vast, planet-wide city that serves as the capital of the Galactic Empire in Isaac Asimov’s science fiction universe.
 E201028 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: Trantor | Statement: [The Currents of Space, setting, Trantor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trantor
Context triple: [The Currents of Space, setting, Trantor]
  • A. Port of Borg
    The Port of Borg is a key commercial seaport in eastern Norway that handles regional cargo traffic and supports industrial and maritime activities in the area.
  • B. Sera
    Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
  • C. Senaru
    Senaru is a traditional mountain village on the island of Lombok in Indonesia, known as a popular gateway for treks to Mount Rinjani and for its scenic waterfalls and Sasak culture.
  • D. Orbis
    Orbis is Yale University Library’s online catalog system that provides access to its extensive collections of books, media, and other resources.
  • E. Qi'ra
    Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
  • 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: Trantor
Triple: [The Currents of Space, setting, Trantor]
Generated description
Trantor is the vast, planet-wide city that serves as the capital of the Galactic Empire in Isaac Asimov’s science fiction universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trantor
Target entity description: Trantor is the vast, planet-wide city that serves as the capital of the Galactic Empire in Isaac Asimov’s science fiction universe.
  • A. Port of Borg
    The Port of Borg is a key commercial seaport in eastern Norway that handles regional cargo traffic and supports industrial and maritime activities in the area.
  • B. Sera
    Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
  • C. Senaru
    Senaru is a traditional mountain village on the island of Lombok in Indonesia, known as a popular gateway for treks to Mount Rinjani and for its scenic waterfalls and Sasak culture.
  • D. Orbis
    Orbis is Yale University Library’s online catalog system that provides access to its extensive collections of books, media, and other resources.
  • E. Qi'ra
    Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6569b2e48190a56cf48160796d2e completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d8da888190a88f3bd8036e19f4 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69c149081908b5b819c068a1ce2 completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8be528c819092a5e22b099fc2a0 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.