Triple
T1022350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VA Central Office |
E22066
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
VACO
VACO is the commonly used abbreviation for the U.S. Department of Veterans Affairs Central Office, its national headquarters in Washington, D.C.
|
E121776
|
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: VACO | Statement: [VA Central Office, shortName, VACO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VACO Context triple: [VA Central Office, shortName, VACO]
-
A.
Vici Properties
Vici Properties is a large publicly traded real estate investment trust (REIT) that specializes in owning gaming, hospitality, and entertainment properties across the United States.
-
B.
Venda
Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
-
C.
Waldomore
Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the community.
-
D.
Cresco
Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
-
E.
Vuse
Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
- 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: VACO Triple: [VA Central Office, shortName, VACO]
Generated description
VACO is the commonly used abbreviation for the U.S. Department of Veterans Affairs Central Office, its national headquarters in Washington, D.C.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VACO Target entity description: VACO is the commonly used abbreviation for the U.S. Department of Veterans Affairs Central Office, its national headquarters in Washington, D.C.
-
A.
Vici Properties
Vici Properties is a large publicly traded real estate investment trust (REIT) that specializes in owning gaming, hospitality, and entertainment properties across the United States.
-
B.
Venda
Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
-
C.
Waldomore
Waldomore is a historic 19th-century mansion in Clarksburg, West Virginia, known for its Classical Revival architecture and its role as a cultural and archival center for the community.
-
D.
Cresco
Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
-
E.
Vuse
Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dead9c8190a0f8d4ef48e6c809 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb63f14819098f5e32af3b98508 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3de4fbb88190855cf92af51fe70b |
completed | March 7, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e45d9e88190bc88d037c00c3ecc |
completed | March 7, 2026, 3:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.