Triple
T15842779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force India Formula One Team |
E384137
|
entity |
| Predicate | chassis |
P7999
|
FINISHED |
| Object |
VJM07
The VJM07 is a Formula One racing car designed and built by the Force India team for competition in the 2014 FIA Formula One World Championship.
|
E1181765
|
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: VJM07 | Statement: [Force India Formula One Team, chassis, VJM07]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VJM07 Context triple: [Force India Formula One Team, chassis, VJM07]
-
A.
VJM06
The VJM06 is a Formula One racing car designed and built by the Force India team for competition in the 2013 FIA Formula One World Championship.
-
B.
VJM08
The VJM08 is Force India's 2015 Formula One racing car, designed to compete in the FIA Formula One World Championship.
-
C.
VJM01
VJM01 is the 2008 Formula One racing car designed and built by the Force India team for its debut season in the sport.
-
D.
VJM10
The VJM10 is Force India’s 2017 Formula One racing car, designed to compete in the FIA Formula One World Championship under the team’s pink-and-silver livery.
-
E.
JMUA
JMUA is a U.S. Department of Defense unit award recognizing joint military organizations for exceptionally meritorious conduct in the performance of outstanding service.
- 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: VJM07 Triple: [Force India Formula One Team, chassis, VJM07]
Generated description
The VJM07 is a Formula One racing car designed and built by the Force India team for competition in the 2014 FIA Formula One World Championship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VJM07 Target entity description: The VJM07 is a Formula One racing car designed and built by the Force India team for competition in the 2014 FIA Formula One World Championship.
-
A.
VJM06
The VJM06 is a Formula One racing car designed and built by the Force India team for competition in the 2013 FIA Formula One World Championship.
-
B.
VJM08
The VJM08 is Force India's 2015 Formula One racing car, designed to compete in the FIA Formula One World Championship.
-
C.
VJM01
VJM01 is the 2008 Formula One racing car designed and built by the Force India team for its debut season in the sport.
-
D.
VJM10
The VJM10 is Force India’s 2017 Formula One racing car, designed to compete in the FIA Formula One World Championship under the team’s pink-and-silver livery.
-
E.
JMUA
JMUA is a U.S. Department of Defense unit award recognizing joint military organizations for exceptionally meritorious conduct in the performance of outstanding service.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e88ff08190a1035269e8fdaa6a |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93ddce4819086174b2549f5e12b |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9e9b17c8190b98d930fd5cb0723 |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa973274819080889e1b9883b8dc |
completed | May 9, 2026, 9:43 p.m. |
Created at: April 10, 2026, 4:50 a.m.