Triple
T16901035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtus Roma |
E424433
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Lottomatica Roma |
E1154834
|
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: Lottomatica Roma | Statement: [Virtus Roma, formerName, Lottomatica Roma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lottomatica Roma Context triple: [Virtus Roma, formerName, Lottomatica Roma]
-
A.
Lottomatica Roma
chosen
Lottomatica Roma was a professional basketball club based in Rome, Italy, that competed in the country’s top league and European competitions.
-
B.
Loto
Loto is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
-
C.
Lotto Park
Lotto Park is a football stadium in Anderlecht, Brussels, best known as the historic home ground of Belgian club R.S.C. Anderlecht.
-
D.
Totesport
Totesport is a British betting and gaming company known for its involvement in horse racing and sports wagering.
-
E.
Team LottoNL–Jumbo
Team LottoNL–Jumbo was a Dutch professional road cycling team known for competing at the UCI WorldTour level and developing top Grand Tour contenders.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dc7cf08190ad935935d8daf1d0 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b273608190b552d8dc22bc51ef |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.