Triple
T3012187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia State Police |
E82248
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
VSP
VSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in the Commonwealth of Virginia.
|
E317675
|
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: VSP | Statement: [Virginia State Police, abbreviation, VSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VSP Context triple: [Virginia State Police, abbreviation, VSP]
-
A.
VZ
VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
-
B.
VVS
VVS was the air force branch of the Soviet Union’s armed forces, responsible for military aviation and air defense operations.
-
C.
VP&S
VP&S is the commonly used abbreviation for Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
-
D.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
-
E.
VAPR
VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
- 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: VSP Triple: [Virginia State Police, abbreviation, VSP]
Generated description
VSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in the Commonwealth of Virginia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VSP Target entity description: VSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in the Commonwealth of Virginia.
-
A.
VZ
VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
-
B.
VVS
VVS was the air force branch of the Soviet Union’s armed forces, responsible for military aviation and air defense operations.
-
C.
VP&S
VP&S is the commonly used abbreviation for Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
-
D.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
-
E.
VAPR
VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a66c334819082d1d320c48eca1b |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6410e481909753bef34e053363 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b12f324fdc8190a279a773ef32ed01 |
completed | March 11, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1c641f3308190912252e5d5e4f843 |
completed | March 11, 2026, 7:45 p.m. |
Created at: March 8, 2026, 3 p.m.