Triple
T226267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Secret Service |
E4320
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
USSS
USSS is the abbreviation for the United States Secret Service, a federal law enforcement agency responsible for protecting national leaders and safeguarding the nation’s financial infrastructure.
|
E28827
|
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: USSS | Statement: [United States Secret Service, abbreviation, USSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USSS Context triple: [United States Secret Service, abbreviation, USSS]
-
A.
The U's
The U's is the commonly used nickname for Cambridge United Football Club, an English professional football team based in Cambridge.
-
B.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
C.
DSU
DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
-
D.
SU
SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- 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: USSS Triple: [United States Secret Service, abbreviation, USSS]
Generated description
USSS is the abbreviation for the United States Secret Service, a federal law enforcement agency responsible for protecting national leaders and safeguarding the nation’s financial infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USSS Target entity description: USSS is the abbreviation for the United States Secret Service, a federal law enforcement agency responsible for protecting national leaders and safeguarding the nation’s financial infrastructure.
-
A.
The U's
The U's is the commonly used nickname for Cambridge United Football Club, an English professional football team based in Cambridge.
-
B.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
C.
DSU
DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
-
D.
SU
SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c8d97d08190ad7c1c3e9322f34c |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3587c52c08190b7e228c9ef9dbca4 |
completed | Feb. 28, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69a359096cac8190a9987591f62b3c00 |
completed | Feb. 28, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3594da03481909e5f7021708409dd |
completed | Feb. 28, 2026, 9:08 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.