Triple

T4910650
Position Surface form Disambiguated ID Type / Status
Subject India–Southeast Asia E110220 entity
Predicate navigationFeature P34226 FINISHED
Object use of monsoon winds LITERAL FINISHED

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: use of monsoon winds | Statement: [India–Southeast Asia, navigationFeature, use of monsoon winds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: navigationFeature
Context triple: [India–Southeast Asia, navigationFeature, use of monsoon winds]
  • A. navigation
    Indicates the act or process of determining and following a path or route from one location or state to another.
  • B. navigationFrom
    Indicates a directional navigation relationship where movement or guidance starts from a specified source location or point.
  • C. navigationType chosen
    Indicates the method or mode by which movement or traversal is carried out between locations or through an environment.
  • D. navigationArea
    Indicates that a specified region or space is designated for movement, routing, or pathfinding within an environment.
  • E. navigationRole
    Indicates that one entity serves as a navigational aid, control, or function that helps users move through or orient themselves within another entity (such as an interface, document, or environment).
  • F. None of above.

Provenance (3 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9acc0c819080b07e2e7924d163 completed March 20, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69bd6c325e188190823836d79934e9bc completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:29 p.m.