Triple
T163649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Secretary of Veterans Affairs |
E2963
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SECVA
SECVA is the official acronym for the United States Secretary of Veterans Affairs, the Cabinet-level official who leads the Department of Veterans Affairs.
|
E20080
|
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: SECVA | Statement: [United States Secretary of Veterans Affairs, abbreviation, SECVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SECVA Context triple: [United States Secretary of Veterans Affairs, abbreviation, SECVA]
-
A.
ECA
ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
-
B.
ECA
The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
-
C.
SJC
SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
-
D.
SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
- 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: SECVA Triple: [United States Secretary of Veterans Affairs, abbreviation, SECVA]
Generated description
SECVA is the official acronym for the United States Secretary of Veterans Affairs, the Cabinet-level official who leads the Department of Veterans Affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SECVA Target entity description: SECVA is the official acronym for the United States Secretary of Veterans Affairs, the Cabinet-level official who leads the Department of Veterans Affairs.
-
A.
ECA
The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
-
B.
ECA
ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
-
C.
SJC
SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
-
D.
SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d7343fc08190810b11d205e41d9a |
completed | Feb. 28, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69a2d85fc61c8190bb296df96fff2884 |
completed | Feb. 28, 2026, 11:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2d8c00e048190806f991b4864763e |
completed | Feb. 28, 2026, noon |
Created at: Feb. 28, 2026, 2:34 a.m.