Triple
T3784429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tre Kronor |
E85494
|
entity |
| Predicate | IIHFCode |
P5825
|
FINISHED |
| Object | SWE |
E44646
|
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: SWE | Statement: [Tre Kronor, IIHFCode, SWE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWE Context triple: [Tre Kronor, IIHFCode, SWE]
-
A.
SWE
chosen
SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
-
B.
SWC
SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
-
C.
CSE
CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
-
D.
CSE
CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
-
E.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04a35448190a57f431ef703b1e1 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.