Triple
T10649415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recaro sport seats (optional) |
E250922
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Recaro
Recaro is a German company renowned for designing and manufacturing high-performance automotive and racing seats known for their ergonomics, safety, and support.
|
E877216
|
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: Recaro | Statement: [Recaro sport seats (optional), manufacturer, Recaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recaro Context triple: [Recaro sport seats (optional), manufacturer, Recaro]
-
A.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
B.
RCS Sport
RCS Sport is an Italian sports and media company best known for organizing major cycling races and other sporting events.
-
C.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
D.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
E.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
- 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: Recaro Triple: [Recaro sport seats (optional), manufacturer, Recaro]
Generated description
Recaro is a German company renowned for designing and manufacturing high-performance automotive and racing seats known for their ergonomics, safety, and support.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Recaro Target entity description: Recaro is a German company renowned for designing and manufacturing high-performance automotive and racing seats known for their ergonomics, safety, and support.
-
A.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
B.
RCS Sport
RCS Sport is an Italian sports and media company best known for organizing major cycling races and other sporting events.
-
C.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
D.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
E.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a60fdd881908987f920a19bb41e |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e13913081908dd1fb60fa44db05 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:06 p.m.