Triple
T5700918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LI Nets |
E125657
|
entity |
| Predicate | hasAbbreviatedName |
P8075
|
FINISHED |
| Object | LI Nets |
E125657
|
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: LI Nets | Statement: [LI Nets, hasAbbreviatedName, LI Nets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LI Nets Context triple: [LI Nets, hasAbbreviatedName, LI Nets]
-
A.
LI Nets
chosen
LI Nets is the abbreviated name for the Long Island Nets, the NBA G League affiliate of the Brooklyn Nets based in Uniondale, New York.
-
B.
Nets Gaming Crew
Nets Gaming Crew is a professional NBA 2K League esports team affiliated with the Brooklyn Nets.
-
C.
WNSL
WNSL is the company responsible for owning and operating Wembley Stadium in London, one of the most famous football and events venues in the world.
-
D.
LN
LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
-
E.
LNS
LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024540afc8190aee3760f71ea39c2 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07de28424819090ff1f4a4b6cc9c0 |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:45 p.m.