Triple
T772943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburger Panther |
E16320
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | AEV |
E91050
|
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: AEV | Statement: [Augsburger Panther, hasAbbreviation, AEV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEV Context triple: [Augsburger Panther, hasAbbreviation, AEV]
-
A.
AEV
chosen
AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
-
B.
AMX
AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
-
C.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
D.
AEF
AEF was the common abbreviation for French Equatorial Africa, a former federation of French colonial territories in central Africa.
-
E.
EAO
EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a72eda6c81908205ae5a1e05cc20 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d994aa081908b748544f5d7f6ed |
completed | March 3, 2026, 5:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.