Triple

T1910279
Position Surface form Disambiguated ID Type / Status
Subject Lincoln, Nebraska E38091 entity
Predicate hasNickname P39 FINISHED
Object Star City
Star City is a commonly used nickname for the city of Lincoln, Nebraska.
 E212050 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: Star City | Statement: [Lincoln, Nebraska, hasNickname, Star City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Star City
Context triple: [Lincoln, Nebraska, hasNickname, Star City]
  • A. Gotham City
    Gotham City is the dark, crime-ridden fictional metropolis that serves as Batman’s primary setting and symbolizes urban corruption and decay in the DC Comics universe.
  • B. Crown City
    Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
  • C. Hat City
    Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
  • D. Golden City
    Golden City is the popular nickname for Jaisalmer, a historic sandstone city in the Thar Desert of Rajasthan, India, famed for its golden-hued fort and architecture.
  • E. Golden City
    Golden City is a poetic nickname for Prague, highlighting the city's historic skyline of gilded spires and sunlit architecture.
  • 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: Star City
Triple: [Lincoln, Nebraska, hasNickname, Star City]
Generated description
Star City is a commonly used nickname for the city of Lincoln, Nebraska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Star City
Target entity description: Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • A. Gotham City
    Gotham City is the dark, crime-ridden fictional metropolis that serves as Batman’s primary setting and symbolizes urban corruption and decay in the DC Comics universe.
  • B. Crown City
    Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
  • C. Hat City
    Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
  • D. Golden City
    Golden City is the popular nickname for Jaisalmer, a historic sandstone city in the Thar Desert of Rajasthan, India, famed for its golden-hued fort and architecture.
  • E. Golden City
    Golden City is a poetic nickname for Prague, highlighting the city's historic skyline of gilded spires and sunlit architecture.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b7095c8190ad7e472aada30d3d completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaffbc2c81908303548fac82ff52 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb8c221881909beb938ea9b8a56b completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec37a4f88190961edf8f9c81773c completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.