Triple

T20412366
Position Surface form Disambiguated ID Type / Status
Subject Marut E500615 entity
Predicate associatedNaturalPhenomenon P45098 FINISHED
Object monsoon 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: monsoon | Statement: [Marut, associatedNaturalPhenomenon, monsoon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedNaturalPhenomenon
Context triple: [Marut, associatedNaturalPhenomenon, monsoon]
  • A. hasNaturalPhenomenon chosen
    Indicates that a location, region, or environment possesses or is characterized by a particular natural phenomenon (such as a weather event, geological feature, or celestial occurrence).
  • B. riverPhenomenon
    Indicates a natural event, condition, or process that occurs in or directly affects a river.
  • C. refersToNaturalWonder
    Indicates that one entity makes reference to, mentions, or points specifically to a natural wonder (such as a notable natural landmark or formation).
  • D. frequentNaturalHazard
    Indicates that a location or area regularly experiences natural hazards such as floods, earthquakes, storms, or similar events with notable frequency.
  • E. followsNaturalFeature
    Indicates that one entity’s position, path, or boundary runs alongside or is aligned with a natural geographic feature (such as a river, coastline, or ridgeline).
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3f8fdc8190b05b6c41b38f34b7 completed April 20, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69e5765d7cb48190adec18d6d1e3d263 completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:30 a.m.