Triple
T5942734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 737 MAX 9 |
E132205
|
entity |
| Predicate | ICAOTypeDesignator |
P16898
|
FINISHED |
| Object |
B39M
B39M is the ICAO aircraft type designator used to identify the Boeing 737 MAX 9 variant in aviation operations and documentation.
|
E557077
|
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: B39M | Statement: [Boeing 737 MAX 9, ICAOTypeDesignator, B39M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B39M Context triple: [Boeing 737 MAX 9, ICAOTypeDesignator, B39M]
-
A.
B38M
B38M is the ICAO aircraft type designator for the Boeing 737 MAX 8 airliner.
-
B.
M-39
M-39 is a state highway in Michigan commonly known as the Southfield Freeway, serving as a major north–south commuter route in the Detroit metropolitan area.
-
C.
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.
-
D.
M939
The M939 is a U.S. military 5-ton 6x6 cargo truck variant used primarily for tactical transport of troops, equipment, and supplies.
-
E.
M923
The M923 is a U.S. military 5-ton 6x6 cargo truck variant used for tactical transport of troops, equipment, and supplies.
- 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: B39M Triple: [Boeing 737 MAX 9, ICAOTypeDesignator, B39M]
Generated description
B39M is the ICAO aircraft type designator used to identify the Boeing 737 MAX 9 variant in aviation operations and documentation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B39M Target entity description: B39M is the ICAO aircraft type designator used to identify the Boeing 737 MAX 9 variant in aviation operations and documentation.
-
A.
B38M
B38M is the ICAO aircraft type designator for the Boeing 737 MAX 8 airliner.
-
B.
M-39
M-39 is a state highway in Michigan commonly known as the Southfield Freeway, serving as a major north–south commuter route in the Detroit metropolitan area.
-
C.
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.
-
D.
M939
The M939 is a U.S. military 5-ton 6x6 cargo truck variant used primarily for tactical transport of troops, equipment, and supplies.
-
E.
M923
The M923 is a U.S. military 5-ton 6x6 cargo truck variant used for tactical transport of troops, equipment, and supplies.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393641d0819081c6c44816d94e4e |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c07f9ab081909fe7727837fa7f7a |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c1bf78908190933360b1099b1444 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c240c3ac8190895c621c3d326bfd |
completed | March 23, 2026, 4:32 a.m. |
Created at: March 22, 2026, 4:01 p.m.