Triple
T5870172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dynamo Dresden |
E130495
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Dynamo |
E455991
|
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: Dynamo | Statement: [Dynamo Dresden, nickname, Dynamo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dynamo Context triple: [Dynamo Dresden, nickname, Dynamo]
-
A.
Dynamo
Dynamo is a prominent Russian sports club based in Moscow, best known for its professional football and ice hockey teams.
-
B.
Dynamo
chosen
Dynamo is the commonly used nickname for FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
-
C.
Dynamo Diesel
Dynamo Diesel is the bull-themed official mascot of the Houston Dynamo Major League Soccer team, known for energizing fans at matches and community events.
-
D.
Dyme
Dyme was an ancient Greek city-state in the region of Achaea, known as one of its earliest and westernmost poleis.
-
E.
Pylon
Pylon was an influential American post-punk band from Athens, Georgia, known for its angular guitar sound and role in the early alternative rock scene.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035f6b8548190a58971b05869228d |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1d39dd081908d77ee82c24178cf |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.