Triple

T2369252
Position Surface form Disambiguated ID Type / Status
Subject Middle-earth E46050 entity
Predicate hasRegion P285 FINISHED
Object Rohan
Rohan is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, renowned for its vast grasslands and skilled cavalry.
E261161 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: Rohan | Statement: [Middle-earth, hasRegion, Rohan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rohan
Context triple: [Middle-earth, hasRegion, Rohan]
  • A. Ravi
    Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
  • B. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • C. Nakula
    Nakula is a heroic prince in the Indian epic Mahabharata, renowned as one of the five Pandava brothers and celebrated for his exceptional skill in swordsmanship and horse-keeping.
  • D. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • E. Rishi
    Rishi is the given name of Rishi Sunak, the British Conservative politician who became Prime Minister of the United Kingdom in 2022.
  • 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: Rohan
Triple: [Middle-earth, hasRegion, Rohan]
Generated description
Rohan is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, renowned for its vast grasslands and skilled cavalry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rohan
Target entity description: Rohan is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, renowned for its vast grasslands and skilled cavalry.
  • A. Ravi
    Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
  • B. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • C. Nakula
    Nakula is a heroic prince in the Indian epic Mahabharata, renowned as one of the five Pandava brothers and celebrated for his exceptional skill in swordsmanship and horse-keeping.
  • D. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • E. Rishi
    Rishi is the given name of Rishi Sunak, the British Conservative politician who became Prime Minister of the United Kingdom in 2022.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76dcaa481908567a068bd61e5ad completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea89eb46481909cc01202839d417f completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aeac2435e88190ae38a1a4d20c4872 completed March 9, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69aeaca11b008190b34397bdf7aa0669 completed March 9, 2026, 11:18 a.m.
Created at: March 4, 2026, 7:56 p.m.