Triple
T699856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Postal Reorganization Act of 1970 |
E13973
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
PRA
PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
|
E85765
|
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: PRA | Statement: [Postal Reorganization Act of 1970, hasAbbreviation, PRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRA Context triple: [Postal Reorganization Act of 1970, hasAbbreviation, PRA]
-
A.
PAR
PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
-
B.
PRR
PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
-
C.
PZPR
PZPR was the ruling communist party that governed the Polish People's Republic from the late 1940s until the fall of communism in 1989.
-
D.
PA
PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
-
E.
PRTC
PRTC is a public transit agency serving Northern Virginia with commuter and local bus services.
- 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: PRA Triple: [Postal Reorganization Act of 1970, hasAbbreviation, PRA]
Generated description
PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRA Target entity description: PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
-
A.
PAR
PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
-
B.
PRR
PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
-
C.
PZPR
PZPR was the ruling communist party that governed the Polish People's Republic from the late 1940s until the fall of communism in 1989.
-
D.
PA
PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
-
E.
PRTC
PRTC is a public transit agency serving Northern Virginia with commuter and local bus services.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0de47f48190949bfa113330a404 |
completed | March 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcac4e9c8190bb6903916a6624a8 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5dfa4a07c8190ac4f477e324b46ff |
completed | March 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a607857b648190a37bf535428e2afd |
completed | March 2, 2026, 9:56 p.m. |
Created at: March 1, 2026, 7:36 p.m.