Triple
T35917194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-Sport Ford World Rally Team |
E1038779
|
entity |
| Predicate | chassisDeveloper |
P109367
|
FINISHED |
| Object |
M-Sport
M-Sport is a British motorsport engineering company best known for running and developing Ford’s works entries in the World Rally Championship.
|
E1038779
|
NE FINISHED |
How this triple was built (3 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: M-Sport | Statement: [M-Sport Ford World Rally Team, chassisDeveloper, M-Sport]
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: M-Sport Triple: [M-Sport Ford World Rally Team, chassisDeveloper, M-Sport]
Generated description
M-Sport is a British motorsport engineering company best known for running and developing Ford’s works entries in the World Rally Championship.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chassisDeveloper Context triple: [M-Sport Ford World Rally Team, chassisDeveloper, M-Sport]
-
A.
chassisDesigner
chosen
Indicates that one entity is the designer or creator responsible for the chassis of another entity.
-
B.
chassis
Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
-
C.
chassisSupplier
Indicates that one entity serves as the supplier or provider of the chassis for another entity.
-
D.
chassisCode
Indicates the specific chassis designation or code assigned to a vehicle model to distinguish its underlying structural platform or variant.
-
E.
chassisConstruction
Indicates how the chassis of an object is built or assembled, specifying the construction method or structural design used.
- F. None of above.
Provenance (6 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa69e2c8190aad5087427023959 |
completed | May 3, 2026, 8:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38cb8097a481909eadb0f919376680 |
completed | June 22, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_6a38cda2a290819093e64a47c3c27026 |
completed | June 22, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38ce2bd3fc8190a0e3810da50fd3fb |
completed | June 22, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.