Triple

T16865998
Position Surface form Disambiguated ID Type / Status
Subject planet Mongo E410037 entity
Predicate hasRegion P285 FINISHED
Object Frigia
Frigia is a frigid, ice-covered region on the planet Mongo in the Flash Gordon universe.
 E1236915 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: Frigia | Statement: [planet Mongo, hasRegion, Frigia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frigia
Context triple: [planet Mongo, hasRegion, Frigia]
  • A. Erythrae
    Erythrae was an ancient Ionian Greek city on the western coast of Asia Minor, known for its strategic harbor and participation in regional alliances such as the Delian League.
  • B. Lyria
    Lyria is a high-speed international train service brand connecting France and Switzerland, operated in partnership with SNCF Voyageurs.
  • C. Albia
    Albia is a small city in Monroe County, Iowa, serving as a local hub for the surrounding rural area in the south-central part of the state.
  • D. Mysia
    Mysia was an ancient region in northwestern Asia Minor, along the coast of the Sea of Marmara and the Aegean Sea, known from Greek and Roman historical and mythological sources.
  • E. Taurica
    Taurica is the ancient name for the Crimean Peninsula, historically known as a Greek and later Roman-influenced region on the northern coast of the Black Sea.
  • 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: Frigia
Triple: [planet Mongo, hasRegion, Frigia]
Generated description
Frigia is a frigid, ice-covered region on the planet Mongo in the Flash Gordon universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frigia
Target entity description: Frigia is a frigid, ice-covered region on the planet Mongo in the Flash Gordon universe.
  • A. Erythrae
    Erythrae was an ancient Ionian Greek city on the western coast of Asia Minor, known for its strategic harbor and participation in regional alliances such as the Delian League.
  • B. Lyria
    Lyria is a high-speed international train service brand connecting France and Switzerland, operated in partnership with SNCF Voyageurs.
  • C. Albia
    Albia is a small city in Monroe County, Iowa, serving as a local hub for the surrounding rural area in the south-central part of the state.
  • D. Mysia
    Mysia was an ancient region in northwestern Asia Minor, along the coast of the Sea of Marmara and the Aegean Sea, known from Greek and Roman historical and mythological sources.
  • E. Taurica
    Taurica is the ancient name for the Crimean Peninsula, historically known as a Greek and later Roman-influenced region on the northern coast of the Black Sea.
  • 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.