Triple

T36037573
Position Surface form Disambiguated ID Type / Status
Subject Sri Muthumariamman Temple, Matale E1042447 entity
Predicate dedicatedTo P500 FINISHED
Object Muthu Mariamman
Muthu Mariamman is a Hindu goddess, revered as a form of Mariamman associated with rain, fertility, and protection, particularly worshipped in South India and Sri Lanka.
E2167074 NE 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: Muthu Mariamman | Statement: [Sri Muthumariamman Temple, Matale, dedicatedTo, Muthu Mariamman]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Muthu Mariamman
Triple: [Sri Muthumariamman Temple, Matale, dedicatedTo, Muthu Mariamman]
Generated description
Muthu Mariamman is a Hindu goddess, revered as a form of Mariamman associated with rain, fertility, and protection, particularly worshipped in South India and Sri Lanka.

Provenance (5 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_69f76e2d7e8c8190bac4e90734566799 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ad1bf27081909683fa99a367f556 completed May 3, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb95bf3c8190a0ed780eba7a77b2 completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cd0a7b708190afd70d66d8aa7d6d completed June 22, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_6a38cd8cf4708190a141ec08f61a6087 completed June 22, 2026, 5:52 a.m.
Created at: May 3, 2026, 4:07 p.m.