Triple

T29836097
Position Surface form Disambiguated ID Type / Status
Subject Pitta dosha E757660 entity
Predicate seasonalAggravation P1166 FINISHED
Object summer 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: summer | Statement: [Pitta dosha, seasonalAggravation, summer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seasonalAggravation
Context triple: [Pitta dosha, seasonalAggravation, summer]
  • A. affectedSeason
    Indicates that one entity has an influence on, or causes a change in, a particular season.
  • B. hasSeasonalNature
    Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
  • C. season chosen
    Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
  • D. seasonalCategory
    Indicates that something is associated with, classified by, or relevant to a particular season or time of year.
  • E. hasSeasonalStatus
    Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
  • 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_69f224593f6c81908785a560fe659f58 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f791cc969c8190bf187d6031a030d5 completed May 3, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
Created at: April 29, 2026, 5:37 p.m.