Triple
T22048840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sussex County Cricket Club |
E544830
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
SUS
SUS is the standard abbreviation for Sussex County Cricket Club, one of England’s historic first-class county cricket teams.
|
E1515347
|
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: SUS | Statement: [Sussex County Cricket Club, hasAbbreviation, SUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUS Context triple: [Sussex County Cricket Club, hasAbbreviation, SUS]
-
A.
SUS
SUS is the abbreviation for the Southern University System, a public historically Black university system based in Louisiana.
-
B.
SUS
SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
-
C.
SUS
SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
-
D.
SUS
SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
-
E.
SUS
SUS is a major Swedish university hospital and medical research center located in the Skåne region.
- 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: SUS Triple: [Sussex County Cricket Club, hasAbbreviation, SUS]
Generated description
SUS is the standard abbreviation for Sussex County Cricket Club, one of England’s historic first-class county cricket teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SUS Target entity description: SUS is the standard abbreviation for Sussex County Cricket Club, one of England’s historic first-class county cricket teams.
-
A.
SUS
SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
-
B.
SUS
SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
-
C.
SUS
SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
-
D.
SUS
SUS is a major Swedish university hospital and medical research center located in the Skåne region.
-
E.
SUS
SUS is the abbreviation for the Southern University System, a public historically Black university system based in Louisiana.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1283191e48190b4ddc84138243327 |
completed | April 28, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7736708190bad46e7f44aeb18c |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c4736808190bd04e03adcb2d97b |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d80f9c08190b18e04b9e9cf47a5 |
completed | May 18, 2026, 2:46 a.m. |
Created at: April 16, 2026, 8:26 p.m.