Triple
T1868369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel K. Inouye International Airport |
E34974
|
entity |
| Predicate | hasHelipad |
P105
|
FINISHED |
| Object |
H3
H3 is a designated helipad facility associated with Daniel K. Inouye International Airport in Honolulu, Hawaii.
|
E207853
|
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 | Statement: [Daniel K. Inouye International Airport, hasHelipad, H3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H3 Context triple: [Daniel K. Inouye International Airport, hasHelipad, H3]
-
A.
B3
B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
-
B.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
C.
G3
G3 is the IATA airline designator assigned to the Brazilian low-cost carrier GOL Linhas Aéreas Inteligentes.
-
D.
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.
-
E.
BH
BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
- 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 Triple: [Daniel K. Inouye International Airport, hasHelipad, H3]
Generated description
H3 is a designated helipad facility associated with Daniel K. Inouye International Airport in Honolulu, Hawaii.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H3 Target entity description: H3 is a designated helipad facility associated with Daniel K. Inouye International Airport in Honolulu, Hawaii.
-
A.
B3
B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
-
B.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
C.
G3
G3 is the IATA airline designator assigned to the Brazilian low-cost carrier GOL Linhas Aéreas Inteligentes.
-
D.
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.
-
E.
BH
BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0b7e4548190a3761133fbbb7b81 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d8dd8881909189029a047bc2b4 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add28b804c8190a625e5d1405c59be |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add35731588190a13c969490ca2c09 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.