Triple
T11630319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steyr |
E276378
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Steyr |
E276378
|
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: Steyr | Statement: [Steyr, river, Steyr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steyr Context triple: [Steyr, river, Steyr]
-
A.
Steyr
chosen
Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
-
B.
Steyr Motors
Steyr Motors is an Austrian engineering company specializing in the development and production of high-performance diesel engines for marine, industrial, and military applications.
-
C.
Magna Steyr
Magna Steyr is an Austrian-based automotive manufacturer and engineering firm known for contract vehicle production and development services for major global car brands.
-
D.
Steyr-Daimler-Puch
Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
-
E.
Steyr 1500A
The Steyr 1500A is a World War II-era Austrian military light truck produced by Steyr-Daimler-Puch and widely used by German forces.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87a20af481909b47775c7cb6ec3b |
completed | April 26, 2026, 9:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.