Triple
T15842782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force India Formula One Team |
E384137
|
entity |
| Predicate | chassis |
P7999
|
FINISHED |
| Object |
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.
|
E1180630
|
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: VJM10 | Statement: [Force India Formula One Team, chassis, VJM10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VJM10 Context triple: [Force India Formula One Team, chassis, VJM10]
-
A.
VAJM
VAJM is the ICAO airport code for Jamnagar Airport in Jamnagar, Gujarat, India.
-
B.
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.
-
C.
MJV
MJV is the IATA airport code for Murcia–San Javier Airport, a former civilian and military airfield serving the Murcia region in southeastern Spain.
-
D.
JVUO
JVUO is the acronym for the Yugoslav Army in the Homeland, the royalist Chetnik resistance movement active in Yugoslavia during World War II.
-
E.
JMR
JMR is a peer-reviewed ASME journal that publishes research on the design, analysis, and application of mechanisms and robotic systems.
- 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: VJM10 Triple: [Force India Formula One Team, chassis, VJM10]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VJM10 Target entity description: 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.
-
A.
VAJM
VAJM is the ICAO airport code for Jamnagar Airport in Jamnagar, Gujarat, India.
-
B.
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.
-
C.
MJV
MJV is the IATA airport code for Murcia–San Javier Airport, a former civilian and military airfield serving the Murcia region in southeastern Spain.
-
D.
JVUO
JVUO is the acronym for the Yugoslav Army in the Homeland, the royalist Chetnik resistance movement active in Yugoslavia during World War II.
-
E.
JMR
JMR is a peer-reviewed ASME journal that publishes research on the design, analysis, and application of mechanisms and robotic systems.
- 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_69ffa13eab4881908794104508ba53af |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa527af048190b1f87d85e50bf254 |
completed | May 9, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5df00e481909e203e78940395ed |
completed | May 9, 2026, 9:23 p.m. |
Created at: April 10, 2026, 4:50 a.m.