Triple
T6606178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Carlos |
E149123
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object | Anzhi Makhachkala |
E602953
|
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: Anzhi Makhachkala | Statement: [Roberto Carlos, managedTeam, Anzhi Makhachkala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anzhi Makhachkala Context triple: [Roberto Carlos, managedTeam, Anzhi Makhachkala]
-
A.
FC Dynamo Makhachkala
FC Dynamo Makhachkala is a Russian football club based in the city of Makhachkala in the Republic of Dagestan.
-
B.
FC Akhmat Grozny
FC Akhmat Grozny is a professional football club from Grozny, Russia, that competes in the Russian Premier League.
-
C.
FC Rubin Kazan
FC Rubin Kazan is a professional Russian football club based in Kazan that has competed in the Russian Premier League and won multiple national titles.
-
D.
FC Dynamo Moscow
FC Dynamo Moscow is one of Russia’s oldest and most storied football clubs, based in Moscow and historically known for its strong domestic and European performances.
-
E.
FC Anzhi Makhachkala
chosen
FC Anzhi Makhachkala is a Russian professional football club from the city of Makhachkala in the Republic of Dagestan, known internationally for its brief period of heavy investment and high-profile signings in the early 2010s.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af143d5c8190b62602602510b1cb |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee3e2d08190b5cb503facf68818 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:57 p.m.