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.