Triple
T17567999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksandr Barkov Sr. |
E427865
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | SaiPa |
—
|
NE NERFINISHED |
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: SaiPa | Statement: [Aleksandr Barkov Sr., memberOfSportsTeam, SaiPa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SaiPa Context triple: [Aleksandr Barkov Sr., memberOfSportsTeam, SaiPa]
-
A.
SaiPa
chosen
SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
-
B.
Sa Pa
Sa Pa is a mountainous town in northern Vietnam known for its terraced rice fields, ethnic minority communities, and trekking routes in the Hoàng Liên Son range.
-
C.
Trongsa
Trongsa is a historic town in central Bhutan known for its strategic location and its prominent dzong overlooking the Mangde Chhu valley.
-
D.
Baoting Hlai
Baoting Hlai is a variety of the Hlai language spoken by the Li (Hlai) people in Baoting County on Hainan Island, China.
-
E.
Sasin
Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592e56e481909249b831cecc31d5 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.