Triple
T12563895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Department of Health |
E295417
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
VDH
VDH is the state public health agency responsible for protecting and promoting the health of residents in Virginia.
|
E991280
|
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: VDH | Statement: [Virginia Department of Health, abbreviation, VDH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VDH Context triple: [Virginia Department of Health, abbreviation, VDH]
-
A.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
B.
VDNKh
VDNKh is a vast exhibition and amusement complex in Moscow known for its grand Soviet-era pavilions, monuments, and cultural attractions.
-
C.
VDP
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
-
D.
DVVD
DVVD is an architectural firm known for its role in the renovation of major public venues such as the Palais Omnisports de Paris-Bercy in Paris.
-
E.
QDH
QDH is the IATA station code used to identify Ashford International railway station in Kent, England.
- 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: VDH Triple: [Virginia Department of Health, abbreviation, VDH]
Generated description
VDH is the state public health agency responsible for protecting and promoting the health of residents in Virginia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VDH Target entity description: VDH is the state public health agency responsible for protecting and promoting the health of residents in Virginia.
-
A.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
B.
VDNKh
VDNKh is a vast exhibition and amusement complex in Moscow known for its grand Soviet-era pavilions, monuments, and cultural attractions.
-
C.
VDP
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
-
D.
DVVD
DVVD is an architectural firm known for its role in the renovation of major public venues such as the Palais Omnisports de Paris-Bercy in Paris.
-
E.
QDH
QDH is the IATA station code used to identify Ashford International railway station in Kent, England.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f65a0f1b2881908a7cb21c9de1a5c2 |
completed | May 2, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65ad4424c8190933759cca5d73c22 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 8, 2026, 11:49 p.m.