Triple

T23844462
Position Surface form Disambiguated ID Type / Status
Subject Arjun main battle tank E591081 entity
Predicate armourName P90185 FINISHED
Object Kanchan armour
Kanchan armour is an Indian-developed composite armour system designed to provide enhanced protection for main battle tanks against a variety of modern anti-tank threats.
 E1605045 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: Kanchan armour | Statement: [Arjun main battle tank, armourName, Kanchan armour]
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: Kanchan armour
Triple: [Arjun main battle tank, armourName, Kanchan armour]
Generated description
Kanchan armour is an Indian-developed composite armour system designed to provide enhanced protection for main battle tanks against a variety of modern anti-tank threats.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: armourName
Context triple: [Arjun main battle tank, armourName, Kanchan armour]
  • A. armorName chosen
    Indicates that an entity has or is associated with a specific name identifying its armor.
  • B. armour
    Indicates that an entity provides protective covering or defense for another entity.
  • C. armorType
    Indicates the specific category or classification of protective armor associated with an entity.
  • D. wearsArmorOf
    Indicates that one entity is equipped with or dressed in the specific armor that belongs to or is associated with another entity.
  • E. armourThickness
    Indicates the measured thickness of an entity’s protective armor in the context of defense or shielding.
  • 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_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_6a0f6e2ff6c481909b81c0d31259a919 completed May 21, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69f1614612b481908c45d99e588882f9 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:09 p.m.