Triple

T16865997
Position Surface form Disambiguated ID Type / Status
Subject planet Mongo E410037 entity
Predicate hasRegion P285 FINISHED
Object Mingo City
Mingo City is the capital stronghold of the tyrant Ming the Merciless on the planet Mongo in the Flash Gordon universe.
E1236914 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: Mingo City | Statement: [planet Mongo, hasRegion, Mingo City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mingo City
Context triple: [planet Mongo, hasRegion, Mingo City]
  • A. Manassa
    Manassa is a small rural town in southern Colorado known as the birthplace of heavyweight boxing champion Jack Dempsey.
  • B. The Hill City
    The Hill City is a nickname for Lynchburg, Virginia, a historic city known for its hilly terrain and prominent role in the American Civil War and regional industry.
  • C. The Hill City
    The Hill City is a nickname for Summit, New Jersey, a suburban community known for its elevated terrain and affluent residential character.
  • D. Garrison City
    Garrison City is the nickname of Dover, New Hampshire, reflecting its historical role as a fortified colonial settlement.
  • E. Limestone City
    Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
  • 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: Mingo City
Triple: [planet Mongo, hasRegion, Mingo City]
Generated description
Mingo City is the capital stronghold of the tyrant Ming the Merciless on the planet Mongo in the Flash Gordon universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mingo City
Target entity description: Mingo City is the capital stronghold of the tyrant Ming the Merciless on the planet Mongo in the Flash Gordon universe.
  • A. Manassa
    Manassa is a small rural town in southern Colorado known as the birthplace of heavyweight boxing champion Jack Dempsey.
  • B. The Hill City
    The Hill City is a nickname for Lynchburg, Virginia, a historic city known for its hilly terrain and prominent role in the American Civil War and regional industry.
  • C. The Hill City
    The Hill City is a nickname for Summit, New Jersey, a suburban community known for its elevated terrain and affluent residential character.
  • D. Garrison City
    Garrison City is the nickname of Dover, New Hampshire, reflecting its historical role as a fortified colonial settlement.
  • E. Limestone City
    Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b5088f208190abfe937633ebe3fe completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb294c0481908306e1f604cc7404 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbd9260c8190be29ee8cb3e05f2c completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc633abc8190a86808986ba294ec completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.