Triple
T23844511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nag anti-tank guided missile |
E591082
|
entity |
| Predicate | vehicleBase |
P154160
|
FINISHED |
| Object | BMP-2 chassis (for NAMICA) |
—
|
NE NERFINISHED |
How this triple was built (2 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: BMP-2 chassis (for NAMICA) | Statement: [Nag anti-tank guided missile, vehicleBase, BMP-2 chassis (for NAMICA)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleBase Context triple: [Nag anti-tank guided missile, vehicleBase, BMP-2 chassis (for NAMICA)]
-
A.
mainVehicle
Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
-
B.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
C.
producedVehicle
Indicates that one entity manufactured or created a particular vehicle.
-
D.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
E.
vehicleFor
Indicates that one entity serves as the means of transportation or conveyance for another entity.
- F. None of above. chosen
Provenance (4 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88a4b948190989a261e79b996a6 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:09 p.m.