Triple

T32263412
Position Surface form Disambiguated ID Type / Status
Subject Megalodon E824219 entity
Predicate tireBrand P109340 FINISHED
Object BKT
BKT is an Indian multinational tire manufacturer best known for producing off-highway and specialty tires for agricultural, industrial, and construction vehicles.
E1999977 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: BKT | Statement: [Megalodon, tireBrand, BKT]
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: BKT
Triple: [Megalodon, tireBrand, BKT]
Generated description
BKT is an Indian multinational tire manufacturer best known for producing off-highway and specialty tires for agricultural, industrial, and construction vehicles.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tireBrand
Context triple: [Megalodon, tireBrand, BKT]
  • A. tyreBrand chosen
    Indicates the brand or manufacturer associated with a given tyre.
  • B. tireType
    Indicates the specific kind or category of tire associated with an entity.
  • C. tyreSupplier
    Indicates that one entity supplies or provides tyres to another entity.
  • D. tireSize
    Indicates the specific size of a tire associated with an object or vehicle.
  • E. catalogBrand
    Indicates that a brand is associated with, or offered within, a particular catalog.
  • 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_69f3490e73588190915f282edd105772 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc7987788190a6a7501c593705b7 completed May 3, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46db79e88190bb877979ab0acdd1 completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f476da774819083632efe3902e9ec completed June 15, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a2f47f1621c8190ab4af373fdf9eda8 completed June 15, 2026, 12:31 a.m.
PD Predicate disambiguation batch_69f6b632cf788190a3d0c08cd026b84b completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:42 a.m.