Triple

T20303497
Position Surface form Disambiguated ID Type / Status
Subject Maihar Devi Temple E505545 entity
Predicate locatedIn P40 FINISHED
Object Maihar 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: Maihar | Statement: [Maihar Devi Temple, locatedIn, Maihar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maihar
Context triple: [Maihar Devi Temple, locatedIn, Maihar]
  • A. Maihar chosen
    Maihar is a town in Madhya Pradesh, India, renowned for its revered Maa Sharda Devi temple and its rich Hindustani classical music heritage.
  • B. Shingora
    Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
  • C. Maihar State
    Maihar State was a former princely state in central India, historically part of the Bagelkhand Agency, known for its royal patronage of Hindustani classical music and the Maihar gharana.
  • D. Kathamala
    Kathamala is a renowned Bengali literary work by Ishwar Chandra Vidyasagar, known for its moral and educational stories aimed at children and young readers.
  • E. Mahjoor
    Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773e0864819095d272659cd2074d completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:17 a.m.