Triple

T22938261
Position Surface form Disambiguated ID Type / Status
Subject Kottai Mariamman Temple E569645 entity
Predicate primaryDeity P7648 FINISHED
Object Mariamman NE NERFINISHED

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: Mariamman | Statement: [Kottai Mariamman Temple, primaryDeity, Mariamman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariamman
Context triple: [Kottai Mariamman Temple, primaryDeity, Mariamman]
  • A. Mariamman chosen
    Mariamman is a South Indian Hindu goddess primarily associated with rain, fertility, and the cure of diseases such as smallpox.
  • B. Mariam Bai
    Mariam Bai was a member of the prominent Jinnah family, historically notable in the context of South Asian politics and the creation of Pakistan.
  • C. Mariam
    Mariam is a feminine given name of Hebrew origin, commonly interpreted to mean "beloved," "wished-for child," or "rebellious."
  • D. Mariye
    Mariye is a perceptive and enigmatic young girl who plays a central, symbolic role in Haruki Murakami’s novel "Killing Commendatore."
  • E. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18136bf448190afa04f8b55a8bb6e completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.