Triple
T15521914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice Chief of the National Guard Bureau |
E368988
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
VCNGB
VCNGB is the acronym for the Vice Chief of the National Guard Bureau, the second-highest-ranking officer assisting in leading the U.S. National Guard.
|
E1161757
|
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: VCNGB | Statement: [Vice Chief of the National Guard Bureau, hasAbbreviation, VCNGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VCNGB Context triple: [Vice Chief of the National Guard Bureau, hasAbbreviation, VCNGB]
-
A.
BGI
BGI is the station code for Brigadeiro, a São Paulo Metro station on Line 2 (Green) in Brazil.
-
B.
BGI
BGI is the three-letter IATA airport code for Grantley Adams International Airport, the main international gateway to Barbados.
-
C.
Genome Data Viewer
Genome Data Viewer is an NCBI web-based genome browser that allows users to visualize, explore, and analyze annotated genomic sequences and features.
-
D.
Visium
Visium is a processor architecture supported by the GNU Assembler within the GNU Binutils toolchain.
-
E.
Nebula Genomics
Nebula Genomics is a personal genomics company that offers whole-genome sequencing and analysis with a focus on privacy-preserving, blockchain-based data sharing.
- 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: VCNGB Triple: [Vice Chief of the National Guard Bureau, hasAbbreviation, VCNGB]
Generated description
VCNGB is the acronym for the Vice Chief of the National Guard Bureau, the second-highest-ranking officer assisting in leading the U.S. National Guard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VCNGB Target entity description: VCNGB is the acronym for the Vice Chief of the National Guard Bureau, the second-highest-ranking officer assisting in leading the U.S. National Guard.
-
A.
BGI
BGI is the station code for Brigadeiro, a São Paulo Metro station on Line 2 (Green) in Brazil.
-
B.
BGI
BGI is the three-letter IATA airport code for Grantley Adams International Airport, the main international gateway to Barbados.
-
C.
Genome Data Viewer
Genome Data Viewer is an NCBI web-based genome browser that allows users to visualize, explore, and analyze annotated genomic sequences and features.
-
D.
Visium
Visium is a processor architecture supported by the GNU Assembler within the GNU Binutils toolchain.
-
E.
Nebula Genomics
Nebula Genomics is a personal genomics company that offers whole-genome sequencing and analysis with a focus on privacy-preserving, blockchain-based data sharing.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d54ea5c8190b3b220ad10ba8f40 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e5643088190a9b001ef815ddd3a |
completed | May 9, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f4456f88190b7fc9b853b0155e4 |
completed | May 9, 2026, 2:05 p.m. |
Created at: April 10, 2026, 4:04 a.m.