Triple

T25741811
Position Surface form Disambiguated ID Type / Status
Subject Finnish Armoured Division E648237 entity
Predicate usedEquipmentModel P2728 FINISHED
Object BT-5 tank
The BT-5 tank was a fast, lightly armored Soviet cavalry tank of the 1930s, notable for its high speed and use in early World War II conflicts.
 E1696018 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: BT-5 tank | Statement: [Finnish Armoured Division, usedEquipmentModel, BT-5 tank]
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: BT-5 tank
Triple: [Finnish Armoured Division, usedEquipmentModel, BT-5 tank]
Generated description
The BT-5 tank was a fast, lightly armored Soviet cavalry tank of the 1930s, notable for its high speed and use in early World War II conflicts.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usedEquipmentModel
Context triple: [Finnish Armoured Division, usedEquipmentModel, BT-5 tank]
  • A. usedEquipmentFrom
    Indicates that one entity has utilized or operated equipment that originated from or was provided by another entity.
  • B. usesEquipment chosen
    Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
  • C. typeOfEquipmentUsed
    Indicates that a particular piece or category of equipment is utilized in performing a specific action, process, or activity.
  • D. usedInDeviceModel
    Indicates that something (such as a component, material, or technology) is utilized within or incorporated into a particular device model.
  • E. usedHelicopterModel
    Indicates that a particular helicopter model was employed or utilized in relation to a given event, operation, or activity.
  • 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_69e7ab306eec8190b05c312c6ab186b8 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fd1b3010819098da2e7d46dfc326 completed May 2, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da03ea9881909b21ce0541613157 completed May 22, 2026, 10:34 p.m.
NEDg Description generation batch_6a10da9b545081908e5837e1de98fe40 completed May 22, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a10db0f7a608190ae0c34f6f6ce0ad8 completed May 22, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f4a0fed15881909b789251fe5d8d45 completed May 1, 2026, 12:47 p.m.
Created at: April 22, 2026, 3:45 a.m.