Triple

T4148581
Position Surface form Disambiguated ID Type / Status
Subject H3 launch vehicle E89847 entity
Predicate configurationOption P28533 FINISHED
Object H3-22
H3-22 is a specific two-stage, two-booster configuration of Japan’s H3 launch vehicle designed for medium-lift satellite and mission launches.
E418621 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: H3-22 | Statement: [H3 launch vehicle, configurationOption, H3-22]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H3-22
Context triple: [H3 launch vehicle, configurationOption, H3-22]
  • A. H3
    H3 is a designated helipad facility associated with Daniel K. Inouye International Airport in Honolulu, Hawaii.
  • B. H225
    The H225 is a long-range, twin-engine heavy-lift helicopter widely used for offshore transport, search and rescue, and military missions.
  • C. H130
    The H130 is a light single-engine helicopter developed by Airbus Helicopters, widely used for passenger transport, sightseeing, and medical evacuation due to its spacious cabin and low noise levels.
  • D. H125
    The H125 is a popular single-engine light utility helicopter widely used worldwide for missions such as aerial work, passenger transport, and law enforcement.
  • E. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • 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: H3-22
Triple: [H3 launch vehicle, configurationOption, H3-22]
Generated description
H3-22 is a specific two-stage, two-booster configuration of Japan’s H3 launch vehicle designed for medium-lift satellite and mission launches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: H3-22
Target entity description: H3-22 is a specific two-stage, two-booster configuration of Japan’s H3 launch vehicle designed for medium-lift satellite and mission launches.
  • A. H3
    H3 is a designated helipad facility associated with Daniel K. Inouye International Airport in Honolulu, Hawaii.
  • B. H225
    The H225 is a long-range, twin-engine heavy-lift helicopter widely used for offshore transport, search and rescue, and military missions.
  • C. H130
    The H130 is a light single-engine helicopter developed by Airbus Helicopters, widely used for passenger transport, sightseeing, and medical evacuation due to its spacious cabin and low noise levels.
  • D. H125
    The H125 is a popular single-engine light utility helicopter widely used worldwide for missions such as aerial work, passenger transport, and law enforcement.
  • E. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02624a9c8190900e42e845ab7e4f completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f3136c48190b158142311bfbc6d completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b58330b1d48190a3af96d3c0e7aa1b completed March 14, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69b583ba1fd8819092b7fe73a17dc406 completed March 14, 2026, 3:50 p.m.
Created at: March 9, 2026, 3:43 p.m.