Triple
T4550656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punakapina |
E110154
|
entity |
| Predicate | hasParticipant |
P149
|
FINISHED |
| Object | Finnish Reds |
E85366
|
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: Finnish Reds | Statement: [Punakapina, hasParticipant, Finnish Reds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finnish Reds Context triple: [Punakapina, hasParticipant, Finnish Reds]
-
A.
Red Guards of Finland
chosen
The Red Guards of Finland were a socialist workers' militia that served as the main military force of the Finnish Reds during the Finnish Civil War of 1918.
-
B.
Black-and-Red
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
-
C.
The Reds
The Reds is the common nickname for Toronto FC, a professional soccer club based in Toronto that competes in Major League Soccer.
-
D.
The Reds
The Reds is the widely used nickname for Liverpool Football Club, one of England’s most successful and historically significant football teams.
-
E.
The Reds
The Reds is a common nickname for Hapoel Tel Aviv F.C., a prominent Israeli football club known for its passionate fan base and historic success.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f5a0a081909977ccbb8aba633c |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb954393c8190b6ff6a5faa129d09 |
completed | March 20, 2026, 9:17 p.m. |
Created at: March 20, 2026, 1:05 p.m.