Triple

T17979296
Position Surface form Disambiguated ID Type / Status
Subject Maryada Purushottama E449557 entity
Predicate appliedToDeity P16947 FINISHED
Object Rama
Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and an exemplar of righteousness in the epic Ramayana.
 E103308 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: Rama | Statement: [Maryada Purushottama, appliedToDeity, Rama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rama
Context triple: [Maryada Purushottama, appliedToDeity, Rama]
  • A. Rama
    Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
  • B. Rama
    Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
  • C. 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.
  • D. Rama
    Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
  • E. Rama
    Rama is a character in John Steinbeck’s novel "To a God Unknown," representing mystical and spiritual elements within the story’s exploration of land, faith, and destiny.
  • 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: Rama
Triple: [Maryada Purushottama, appliedToDeity, Rama]
Generated description
Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and an exemplar of righteousness in the epic Ramayana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rama
Target entity description: Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and an exemplar of righteousness in the epic Ramayana.
  • A. Rama chosen
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • B. Rama
    Rama is a character in John Steinbeck’s novel "To a God Unknown," representing mystical and spiritual elements within the story’s exploration of land, faith, and destiny.
  • C. 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.
  • D. Rama
    Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
  • E. Rama
    Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
  • F. None of above.

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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b201d1508190a9d6abbfd04bdcae completed April 19, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3de8fb48190ae12f8587fa30081 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4a9648881908924fa06a74c52ca completed May 12, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03b597ba408190a4e34a2fca922c84 completed May 12, 2026, 11:19 p.m.
Created at: April 10, 2026, 10:22 a.m.