Triple
T6018222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 737 MAX 10 |
E133998
|
entity |
| Predicate | ICAOTypeDesignator |
P16898
|
FINISHED |
| Object | B38M |
E552019
|
NE FINISHED |
How this triple was built (2 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: B38M | Statement: [Boeing 737 MAX 10, ICAOTypeDesignator, B38M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B38M Context triple: [Boeing 737 MAX 10, ICAOTypeDesignator, B38M]
-
A.
B38M
chosen
B38M is the ICAO aircraft type designator for the Boeing 737 MAX 8 airliner.
-
B.
B39M
B39M is the ICAO aircraft type designator used to identify the Boeing 737 MAX 9 variant in aviation operations and documentation.
-
C.
B82
B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
-
D.
B8
B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
-
E.
BB-38
BB-38 is the hull number of USS Pennsylvania, a Pennsylvania-class battleship of the United States Navy that served prominently during both World Wars.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f8589d0819089ae7840461640f6 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108b842c48190b9469e2892a213d3 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:07 p.m.