Triple
T20753352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aloha Airlines |
E510787
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
ALOHA
ALOHA was the distinctive radio callsign used by Aloha Airlines, a former Hawaiian-based regional and inter-island carrier.
|
E1448925
|
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: ALOHA | Statement: [Aloha Airlines, callsign, ALOHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALOHA Context triple: [Aloha Airlines, callsign, ALOHA]
-
A.
Aloha
Aloha is a 2015 romantic comedy-drama film set in Hawaii that blends themes of love, redemption, and cultural conflict.
-
B.
Alo
Alo is one of the three traditional chiefdoms of the French overseas collectivity of Wallis and Futuna, located on Futuna Island in the South Pacific.
-
C.
Hawaiian Aloha
Hawaiian Aloha is a tropical, island-inspired fragrance used in Febreze products, typically featuring sweet floral and fruity notes reminiscent of Hawaii.
-
D.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
E.
ALO
ALO is the National Rail station code for Alloa railway station in Clackmannanshire, Scotland.
- 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: ALOHA Triple: [Aloha Airlines, callsign, ALOHA]
Generated description
ALOHA was the distinctive radio callsign used by Aloha Airlines, a former Hawaiian-based regional and inter-island carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ALOHA Target entity description: ALOHA was the distinctive radio callsign used by Aloha Airlines, a former Hawaiian-based regional and inter-island carrier.
-
A.
Aloha
Aloha is a 2015 romantic comedy-drama film set in Hawaii that blends themes of love, redemption, and cultural conflict.
-
B.
Alo
Alo is one of the three traditional chiefdoms of the French overseas collectivity of Wallis and Futuna, located on Futuna Island in the South Pacific.
-
C.
Hawaiian Aloha
Hawaiian Aloha is a tropical, island-inspired fragrance used in Febreze products, typically featuring sweet floral and fruity notes reminiscent of Hawaii.
-
D.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
E.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22d0ebc8190b17077326f540f98 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8489c188190a79c573f8470445c |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e9a399f88190aab9e52277113271 |
completed | May 16, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ea0f4b60819093de46bd7543df38 |
completed | May 16, 2026, 10:05 p.m. |
Created at: April 16, 2026, 12:34 p.m.