Triple
T9594932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SK-105 Kürassier |
E231507
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Saurer-Werke
Saurer-Werke was an Austrian industrial company best known for producing military vehicles, trucks, and armored fighting vehicles.
|
E808552
|
NE FINISHED |
How this triple was built (4 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: Saurer-Werke | Statement: [SK-105 Kürassier, manufacturer, Saurer-Werke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saurer-Werke Context triple: [SK-105 Kürassier, manufacturer, Saurer-Werke]
-
A.
Buna-Werke
Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
-
B.
Bayer Sager
Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
-
C.
Hamm-Brücher
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
-
D.
E.S. Mittler & Sohn
E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
-
E.
Erla Maschinenwerk
Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saurer-Werke Triple: [SK-105 Kürassier, manufacturer, Saurer-Werke]
Generated description
Saurer-Werke was an Austrian industrial company best known for producing military vehicles, trucks, and armored fighting vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saurer-Werke Target entity description: Saurer-Werke was an Austrian industrial company best known for producing military vehicles, trucks, and armored fighting vehicles.
-
A.
Buna-Werke
Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
-
B.
Bayer Sager
Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
-
C.
Hamm-Brücher
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
-
D.
E.S. Mittler & Sohn
E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
-
E.
Erla Maschinenwerk
Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
- F. None of above. chosen
Provenance (5 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a14fd308190beb8fda5a9e912c7 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16199845881908f8a91182ca48250 |
completed | April 4, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69d16230a99481909d82d03babe6729a |
completed | April 4, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d16321aba88190a7e8359dbaa5362b |
completed | April 4, 2026, 7:14 p.m. |
Created at: March 30, 2026, 8:07 p.m.