Triple

T21252790
Position Surface form Disambiguated ID Type / Status
Subject Hinglaj Mata Temple E523786 entity
Predicate hasAlternativeName P39 FINISHED
Object Nani Mandir NE NERFINISHED

How this triple was built (3 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: Nani Mandir | Statement: [Hinglaj Mata Temple, hasAlternativeName, Nani Mandir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nani Mandir
Context triple: [Hinglaj Mata Temple, hasAlternativeName, Nani Mandir]
  • A. Jai Mandir
    Jai Mandir is an ornately decorated palace chamber within Rajasthan’s historic Amber Fort, renowned for its intricate mirror work and royal Mughal-Rajput architecture.
  • B. Meenakshi shrine
    The Meenakshi shrine is the central sanctum within Madurai’s Meenakshi Amman Temple dedicated to the goddess Meenakshi, a form of Parvati revered as the presiding deity of the complex.
  • C. Maan Mandir
    Maan Mandir is a prominent Hindu temple in Barsana, Uttar Pradesh, revered as a significant pilgrimage site associated with the legends of Radha and Krishna.
  • D. Savitri Temple
    Savitri Temple is a hilltop Hindu shrine in Pushkar, Rajasthan, dedicated to Goddess Savitri and known for its panoramic views of the town and surrounding desert.
  • E. Ambika Devi temple
    Ambika Devi temple is a historic Hindu shrine dedicated to the goddess Ambika, located within the ancient Kangra Fort complex in Himachal Pradesh, India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nani Mandir
Target entity description: Nani Mandir is a revered Hindu temple and pilgrimage site dedicated to the goddess Hinglaj Mata, located in the Hingol National Park area of Balochistan, Pakistan.
  • A. Jai Mandir
    Jai Mandir is an ornately decorated palace chamber within Rajasthan’s historic Amber Fort, renowned for its intricate mirror work and royal Mughal-Rajput architecture.
  • B. Meenakshi shrine
    The Meenakshi shrine is the central sanctum within Madurai’s Meenakshi Amman Temple dedicated to the goddess Meenakshi, a form of Parvati revered as the presiding deity of the complex.
  • C. Maan Mandir
    Maan Mandir is a prominent Hindu temple in Barsana, Uttar Pradesh, revered as a significant pilgrimage site associated with the legends of Radha and Krishna.
  • D. Savitri Temple
    Savitri Temple is a hilltop Hindu shrine in Pushkar, Rajasthan, dedicated to Goddess Savitri and known for its panoramic views of the town and surrounding desert.
  • E. Ambika Devi temple
    Ambika Devi temple is a historic Hindu shrine dedicated to the goddess Ambika, located within the ancient Kangra Fort complex in Himachal Pradesh, India.
  • F. None of above. chosen

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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.