Triple
T22271380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga Lakestars |
E550484
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Shiga Lakestars |
—
|
NE NERFINISHED |
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: Shiga Lakestars | Statement: [Shiga Lakestars, fullName, Shiga Lakestars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiga Lakestars Context triple: [Shiga Lakestars, fullName, Shiga Lakestars]
-
A.
Shiga Lakestars
chosen
Shiga Lakestars is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
B.
Daimai Orions
Daimai Orions was a former Japanese professional baseball team that later became known as the Chiba Lotte Marines.
-
C.
Charlotte Stars
The Charlotte Stars were a professional American football team that competed in the World Football League.
-
D.
Niseko United
Niseko United is a renowned ski resort area in Hokkaido, Japan, comprising several interconnected ski resorts known for abundant powder snow and extensive terrain.
-
E.
Nagoya Fighting Eagles
Nagoya Fighting Eagles is a professional Japanese basketball team based in Nagoya that competes in the B.League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141c056cc819088dae6f2b9a1d526 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:40 p.m.