Triple
T12463584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VSI Discovery and Configuration Protocol |
E297862
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
VDP
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
|
E984672
|
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: VDP | Statement: [VSI Discovery and Configuration Protocol, abbreviation, VDP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VDP Context triple: [VSI Discovery and Configuration Protocol, abbreviation, VDP]
-
A.
VDPP
VDPP is the ICAO airport code for Phnom Penh International Airport, the main international gateway to Cambodia’s capital city.
-
B.
DVP
DVP is the National Rail station code for Dover Priory railway station in Dover, Kent, England.
-
C.
DVP
DVP is a major controlled-access highway in Toronto, Ontario, connecting the city's downtown core with its northeastern suburbs along the Don River valley.
-
D.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
E.
DPV
DPV (Delivery Point Validation) is a United States Postal Service standard and toolset used to verify the accuracy and deliverability of specific mailing addresses down to the individual delivery point.
- 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: VDP Triple: [VSI Discovery and Configuration Protocol, abbreviation, VDP]
Generated description
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VDP Target entity description: VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
-
A.
VDPP
VDPP is the ICAO airport code for Phnom Penh International Airport, the main international gateway to Cambodia’s capital city.
-
B.
DVP
DVP is the National Rail station code for Dover Priory railway station in Dover, Kent, England.
-
C.
DVP
DVP is a major controlled-access highway in Toronto, Ontario, connecting the city's downtown core with its northeastern suburbs along the Don River valley.
-
D.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
E.
DPV
DPV (Delivery Point Validation) is a United States Postal Service standard and toolset used to verify the accuracy and deliverability of specific mailing addresses down to the individual delivery point.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db5efe88190a76949e4ddc3314c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1f44f481909c7efdffd2aeac41 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f641a309cc8190b2403e62a6acfe58 |
completed | May 2, 2026, 6:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6427c162c8190ae2c027913d43b9e |
completed | May 2, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.