Triple
T9420159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York General Business Law |
E227130
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
NY GBL
NY GBL is a commonly used abbreviation for the New York General Business Law, a key statute governing various commercial and consumer protection matters in New York State.
|
E798398
|
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: NY GBL | Statement: [New York General Business Law, shortName, NY GBL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NY GBL Context triple: [New York General Business Law, shortName, NY GBL]
-
A.
NYI
NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
-
B.
NYG
NYG refers to the New York Giants, a professional American football team based in the New York metropolitan area that competes in the NFL’s NFC East division.
-
C.
NYL
NYL is the FAA location identifier for Yuma International Airport in Yuma, Arizona.
-
D.
NYN
NYN is the former stock ticker symbol for NYNEX Corporation, a regional Bell operating telephone company that later became part of Verizon Communications.
-
E.
NYM
NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
- 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: NY GBL Triple: [New York General Business Law, shortName, NY GBL]
Generated description
NY GBL is a commonly used abbreviation for the New York General Business Law, a key statute governing various commercial and consumer protection matters in New York State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NY GBL Target entity description: NY GBL is a commonly used abbreviation for the New York General Business Law, a key statute governing various commercial and consumer protection matters in New York State.
-
A.
NYI
NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
-
B.
NYG
NYG refers to the New York Giants, a professional American football team based in the New York metropolitan area that competes in the NFL’s NFC East division.
-
C.
NYL
NYL is the FAA location identifier for Yuma International Airport in Yuma, Arizona.
-
D.
NYN
NYN is the former stock ticker symbol for NYNEX Corporation, a regional Bell operating telephone company that later became part of Verizon Communications.
-
E.
NYM
NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2528c8819087b0a21e703254b7 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c95c9481909957b99cacf5e045 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1085a980c8190b4c6d811b07ab180 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1093f440481909aa27287019191ac |
completed | April 4, 2026, 12:51 p.m. |
Created at: March 30, 2026, 7:48 p.m.