Triple
T3145987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SM-liiga |
E65764
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Liiga |
E65764
|
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: Liiga | Statement: [SM-liiga, alsoKnownAs, Liiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liiga Context triple: [SM-liiga, alsoKnownAs, Liiga]
-
A.
SM-liiga
chosen
SM-liiga is the top professional ice hockey league in Finland, featuring the country’s premier teams and players.
-
B.
Swedish Hockey League
The Swedish Hockey League is Sweden's top professional ice hockey league and one of Europe's premier hockey competitions, known for developing many NHL-caliber players.
-
C.
Superettan
Superettan is the second-highest professional football league in Sweden, sitting directly below the Allsvenskan in the national league system.
-
D.
Erovnuli Liga
Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
-
E.
Allsvenskan
Allsvenskan is the top professional football league in Sweden, featuring the country’s highest-level clubs in a season-long competition.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.