Triple
T2978119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Arrows |
E80446
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Auto Union |
E37745
|
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: Auto Union | Statement: [Silver Arrows, associatedWith, Auto Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auto Union Context triple: [Silver Arrows, associatedWith, Auto Union]
-
A.
Audi
chosen
Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
-
B.
Alfa Romeo
Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
-
C.
Fiat
Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
-
D.
Maserati
Maserati is an Italian luxury automobile manufacturer renowned for its high-performance sports cars and grand tourers distinguished by elegant design and racing heritage.
-
E.
Steyr-Daimler-Puch
Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999b0d50819093dac7678b887a9b |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ecef788190ad40dba81f1036c6 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.