Triple
T7758323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Lacrosse League |
E175953
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NLL |
E308092
|
NE FINISHED |
How this triple was built (2 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: NLL | Statement: [National Lacrosse League, abbreviation, NLL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NLL Context triple: [National Lacrosse League, abbreviation, NLL]
-
A.
NLL
chosen
The NLL (National Lacrosse League) is North America’s premier professional indoor box lacrosse league.
-
B.
NNL
NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
-
C.
NLLGG
NLLGG is a Dutch user group focused on promoting and supporting the use of Unix and Unix-like systems, including Linux, among enthusiasts and professionals in the Netherlands.
-
D.
LLN
LLN is a fundamental theorem in probability theory stating that as the number of independent, identically distributed trials increases, the sample average converges to the expected value.
-
E.
NLES
NLES (Navigation Land Earth Station) is a ground-based station that uplinks correction and integrity data to navigation satellites in satellite-based augmentation systems like EGNOS.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703dcb26881909d72a280108864bf |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7cf538c8190aa86c27fff42efb0 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:09 p.m.