Triple
T91532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetBlue Airways |
E1838
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
JBU
JBU is the ICAO airline designator used in flight operations and air traffic control to identify JetBlue Airways.
|
E7851
|
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: JBU | Statement: [JetBlue Airways, ICAOCode, JBU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JBU Context triple: [JetBlue Airways, ICAOCode, JBU]
-
A.
IJ Bay
IJ Bay is a body of water in the Netherlands that forms a key waterfront and harbor area for the city of Amsterdam.
-
B.
J
J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
-
C.
LBY
LBY is the three-letter ISO 3166-1 alpha-3 country code assigned to Libya.
-
D.
BB-39
BB-39 is the hull classification symbol for USS Arizona, a Pennsylvania-class battleship of the United States Navy sunk during the attack on Pearl Harbor in 1941.
-
E.
Timberlands
Timberlands is Weyerhaeuser’s core business segment focused on owning, managing, and sustainably harvesting large tracts of commercial forestland for wood and related products.
- 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: JBU Triple: [JetBlue Airways, ICAOCode, JBU]
Generated description
JBU is the ICAO airline designator used in flight operations and air traffic control to identify JetBlue Airways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JBU Target entity description: JBU is the ICAO airline designator used in flight operations and air traffic control to identify JetBlue Airways.
-
A.
IJ Bay
IJ Bay is a body of water in the Netherlands that forms a key waterfront and harbor area for the city of Amsterdam.
-
B.
J
J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
-
C.
LBY
LBY is the three-letter ISO 3166-1 alpha-3 country code assigned to Libya.
-
D.
BB-39
BB-39 is the hull classification symbol for USS Arizona, a Pennsylvania-class battleship of the United States Navy sunk during the attack on Pearl Harbor in 1941.
-
E.
Timberlands
Timberlands is Weyerhaeuser’s core business segment focused on owning, managing, and sustainably harvesting large tracts of commercial forestland for wood and related products.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24f6c29888190890caa7872d63ac6 |
completed | Feb. 28, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26245bf748190828d5cb4624b2a79 |
completed | Feb. 28, 2026, 3:34 a.m. |
| NEDg | Description generation | batch_69a262bec71481909b251923011ca502 |
completed | Feb. 28, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a263626b7c8190b53469d93ac604d9 |
completed | Feb. 28, 2026, 3:39 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.