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)
The BMP-2 chassis (for NAMICA) is a modified Indian variant of the Soviet-designed BMP-2 infantry fighting vehicle, adapted as a tracked launch platform for the Nag anti-tank guided missile system.
 E1605375 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: BMP-2 chassis (for NAMICA) | Statement: [Nag anti-tank guided missile, vehicleBase, BMP-2 chassis (for NAMICA)]
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: BMP-2 chassis (for NAMICA)
Triple: [Nag anti-tank guided missile, vehicleBase, BMP-2 chassis (for NAMICA)]
Generated description
The BMP-2 chassis (for NAMICA) is a modified Indian variant of the Soviet-designed BMP-2 infantry fighting vehicle, adapted as a tracked launch platform for the Nag anti-tank guided missile system.
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 (7 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.
NED1 Entity disambiguation (via context triple) batch_6a0f69aa0abc819085ff6abee28833de completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d40d1108190b4da250e40014008 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e38cf648190b30122be93c70685 completed May 21, 2026, 8:42 p.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.