Triple

T18699110
Position Surface form Disambiguated ID Type / Status
Subject Raghunath Temple E457199 entity
Predicate devotionalFocus P21326 FINISHED
Object Lord Rama 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: Lord Rama | Statement: [Raghunath Temple, devotionalFocus, Lord Rama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Rama
Context triple: [Raghunath Temple, devotionalFocus, Lord Rama]
  • A. Lord Rama chosen
    Lord Rama is a principal deity in Hinduism, revered as the seventh avatar of Vishnu and the virtuous hero of the epic Ramayana.
  • B. Rama
    Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
  • C. Rama
    Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
  • D. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • E. Rama
    Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562ea4ee48190b18a29553371f31a completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.