Triple
T2675474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beechcraft C-45 Expeditor |
E56447
|
entity |
| Predicate | notableVariant |
P4680
|
FINISHED |
| Object |
SNB
SNB is the U.S. Navy’s military transport and trainer variant of the Beechcraft Model 18 aircraft.
|
E287099
|
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: SNB | Statement: [Beechcraft C-45 Expeditor, notableVariant, SNB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNB Context triple: [Beechcraft C-45 Expeditor, notableVariant, SNB]
-
A.
SNB
SNB is the central bank of Switzerland responsible for the country’s monetary policy and the stability of the Swiss financial system.
-
B.
NSB
NSB is the acronym for the National Science Board, the governing body that advises the U.S. government on national science and engineering policy and oversees the National Science Foundation.
-
C.
SN
SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
-
D.
SN
SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
-
E.
GNB
GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
- 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: SNB Triple: [Beechcraft C-45 Expeditor, notableVariant, SNB]
Generated description
SNB is the U.S. Navy’s military transport and trainer variant of the Beechcraft Model 18 aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SNB Target entity description: SNB is the U.S. Navy’s military transport and trainer variant of the Beechcraft Model 18 aircraft.
-
A.
SNB
SNB is the central bank of Switzerland responsible for the country’s monetary policy and the stability of the Swiss financial system.
-
B.
NSB
NSB is the acronym for the National Science Board, the governing body that advises the U.S. government on national science and engineering policy and oversees the National Science Foundation.
-
C.
SN
SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
-
D.
SN
SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
-
E.
GNB
GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b3530c819093942cc985f814ef |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0638a9c8190b48ca5aa56eb66ff |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa0e714e08190aa873b8501c89479 |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa18335548190b186323227d55e63 |
completed | March 10, 2026, 4:43 a.m. |
Created at: March 6, 2026, 9:54 p.m.