Triple
T11371283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staten Island Yankees |
E269345
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SIY
SIY is the common abbreviation for the Staten Island Yankees, a former Minor League Baseball team that served as a New York Yankees affiliate.
|
E921877
|
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: SIY | Statement: [Staten Island Yankees, abbreviation, SIY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIY Context triple: [Staten Island Yankees, abbreviation, SIY]
-
A.
SY
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
-
B.
IY
IY is one of the Zilog Z80 CPU’s 16-bit index registers, primarily used for indexed addressing operations.
-
C.
Si
Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
-
D.
Sy
Sy is the first name of Sy Gomberg, an American screenwriter and producer known for his work in mid-20th-century film and television.
-
E.
Sy
Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
- 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: SIY Triple: [Staten Island Yankees, abbreviation, SIY]
Generated description
SIY is the common abbreviation for the Staten Island Yankees, a former Minor League Baseball team that served as a New York Yankees affiliate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SIY Target entity description: SIY is the common abbreviation for the Staten Island Yankees, a former Minor League Baseball team that served as a New York Yankees affiliate.
-
A.
SY
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
-
B.
IY
IY is one of the Zilog Z80 CPU’s 16-bit index registers, primarily used for indexed addressing operations.
-
C.
Si
Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
-
D.
Sy
Sy is the first name of Sy Gomberg, an American screenwriter and producer known for his work in mid-20th-century film and television.
-
E.
Sy
Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8b196881909af9b138661e816d |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568516a481909ea66cbe53968e84 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c7de3c8190befb6d7131129a2c |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a776390819082d47ad00cf1862b |
completed | April 19, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:33 p.m.