Triple

T12315929
Position Surface form Disambiguated ID Type / Status
Subject Vela E293598 entity
Predicate contains P35 FINISHED
Object GumNebula
GumNebula is a vast, faint emission nebula in the southern sky, believed to be the remnant of one or more ancient supernova explosions.
 E976573 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: GumNebula | Statement: [Vela, contains, GumNebula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GumNebula
Context triple: [Vela, contains, GumNebula]
  • A. GUM
    GUM is a historic and iconic department store located on Red Square in Moscow, Russia, known for its grand architecture and luxury retail offerings.
  • B. GUM
    GUM is the IATA airport code for Antonio B. Won Pat International Airport, the main commercial airport serving Guam in the western Pacific.
  • C. Gumdrop
    Gumdrop was the nickname given to the Apollo 9 command module, used in 1969 to test the lunar module and docking procedures in Earth orbit during NASA’s Apollo program.
  • D. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • E. Gadzoom
    Gadzoom is a high-speed chairlift at Snowbird Ski and Summer Resort in Utah, serving popular intermediate and advanced terrain.
  • 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: GumNebula
Triple: [Vela, contains, GumNebula]
Generated description
GumNebula is a vast, faint emission nebula in the southern sky, believed to be the remnant of one or more ancient supernova explosions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GumNebula
Target entity description: GumNebula is a vast, faint emission nebula in the southern sky, believed to be the remnant of one or more ancient supernova explosions.
  • A. GUM
    GUM is a historic and iconic department store located on Red Square in Moscow, Russia, known for its grand architecture and luxury retail offerings.
  • B. GUM
    GUM is the IATA airport code for Antonio B. Won Pat International Airport, the main commercial airport serving Guam in the western Pacific.
  • C. Gumdrop
    Gumdrop was the nickname given to the Apollo 9 command module, used in 1969 to test the lunar module and docking procedures in Earth orbit during NASA’s Apollo program.
  • D. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • E. Gadzoom
    Gadzoom is a high-speed chairlift at Snowbird Ski and Summer Resort in Utah, serving popular intermediate and advanced terrain.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f05186481909c024a933b4f6c60 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622a646c481908164ae5387625bb4 completed May 2, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.