Triple

T4148583
Position Surface form Disambiguated ID Type / Status
Subject H3 launch vehicle E89847 entity
Predicate configurationOption P28533 FINISHED
Object H3-30
H3-30 is a specific configuration of Japan’s H3 launch vehicle designed for medium-lift satellite and payload missions.
E418622 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: H3-30 | Statement: [H3 launch vehicle, configurationOption, H3-30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H3-30
Context triple: [H3 launch vehicle, configurationOption, H3-30]
  • A. H3
    H3 is a designated helipad facility associated with Daniel K. Inouye International Airport in Honolulu, Hawaii.
  • B. 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.
  • C. J300
    J300 is the internal model code for the fourth-generation Lexus LX, a full-size luxury SUV built on Toyota’s latest Land Cruiser platform.
  • D. A30
    The A30 is a major trunk road in southern England that runs from London to Land's End in Cornwall, serving as an important route across the southwest.
  • E. TX-30
    TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.
  • 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: H3-30
Triple: [H3 launch vehicle, configurationOption, H3-30]
Generated description
H3-30 is a specific configuration of Japan’s H3 launch vehicle designed for medium-lift satellite and payload missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: H3-30
Target entity description: H3-30 is a specific configuration of Japan’s H3 launch vehicle designed for medium-lift satellite and payload missions.
  • A. H3
    H3 is a designated helipad facility associated with Daniel K. Inouye International Airport in Honolulu, Hawaii.
  • B. 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.
  • C. J300
    J300 is the internal model code for the fourth-generation Lexus LX, a full-size luxury SUV built on Toyota’s latest Land Cruiser platform.
  • D. A30
    The A30 is a major trunk road in southern England that runs from London to Land's End in Cornwall, serving as an important route across the southwest.
  • E. TX-30
    TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.
  • 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.