Triple

T21479151
Position Surface form Disambiguated ID Type / Status
Subject Ambaji E529940 entity
Predicate alsoKnownAs P39 FINISHED
Object Ambe Maa
Ambe Maa is a revered Hindu goddess, worshipped as a powerful form of the Divine Mother and particularly venerated at the Ambaji Temple in Gujarat, India.
 E1486661 NE FINISHED

How this triple was built (4 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: Ambe Maa | Statement: [Ambaji, alsoKnownAs, Ambe Maa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ambe Maa
Context triple: [Ambaji, alsoKnownAs, Ambe Maa]
  • A. Kamakshi
    Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
  • B. Jeen Mata
    Jeen Mata is a Hindu goddess venerated primarily in Rajasthan, India, where she is revered as a powerful local deity and protector.
  • C. Amma
    Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
  • D. Amma
    Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
  • E. Amma
    Amma is a renowned Indian spiritual leader and humanitarian known worldwide as the “Hugging Saint” for her compassionate embrace and extensive charitable work.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Ambe Maa
Triple: [Ambaji, alsoKnownAs, Ambe Maa]
Generated description
Ambe Maa is a revered Hindu goddess, worshipped as a powerful form of the Divine Mother and particularly venerated at the Ambaji Temple in Gujarat, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ambe Maa
Target entity description: Ambe Maa is a revered Hindu goddess, worshipped as a powerful form of the Divine Mother and particularly venerated at the Ambaji Temple in Gujarat, India.
  • A. Kamakshi
    Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
  • B. Jeen Mata
    Jeen Mata is a Hindu goddess venerated primarily in Rajasthan, India, where she is revered as a powerful local deity and protector.
  • C. Amma
    Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
  • D. Amma
    Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
  • E. Amma
    Amma is a renowned Indian spiritual leader and humanitarian known worldwide as the “Hugging Saint” for her compassionate embrace and extensive charitable work.
  • F. None of above. chosen

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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1a37a88190845810cbcacbad65 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cffd85b08190b445845a4eb0eb17 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d186a288819083494e27f927e0cc completed May 17, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a09d1e9e25c819083f9237e6805e358 completed May 17, 2026, 2:34 p.m.
Created at: April 16, 2026, 6:20 p.m.