Triple

T36386666
Position Surface form Disambiguated ID Type / Status
Subject Golconda Mahakali temples E896212 entity
Predicate floralOfferings P98895 FINISHED
Object marigold and other local flowers 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: marigold and other local flowers | Statement: [Golconda Mahakali temples, floralOfferings, marigold and other local flowers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: floralOfferings
Context triple: [Golconda Mahakali temples, floralOfferings, marigold and other local flowers]
  • A. mainFloralSource
    Indicates that one entity serves as the primary floral or plant-based source for another entity (such as a product, substance, or process).
  • B. hasVotiveOfferings chosen
    Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
  • C. sharesFloralElementsWith
    Indicates that two entities have flowers or floral structures with similar or overlapping elements, such as shapes, patterns, or component parts.
  • D. receivesOfferingsOf
    Indicates that one entity is the recipient of offerings, tributes, or gifts presented by another entity.
  • E. floweringUse
    Indicates the use or application of something specifically for flowering or promoting the flowering process.
  • 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_69f76e51d358819092bbc5f119f49476 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bcccd7988190aa5c931ff347d33c completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:10 p.m.