Triple

T11999420
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Ruhuna E285617 entity
Predicate region P40 FINISHED
Object Rohana
Rohana is a historical region in southern Sri Lanka that formed the core territory of the ancient Kingdom of Ruhuna.
E958967 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: Rohana | Statement: [Kingdom of Ruhuna, region, Rohana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rohana
Context triple: [Kingdom of Ruhuna, region, Rohana]
  • A. Rojhan
    Rojhan is a town and administrative center in southern Punjab, Pakistan, known for its tribal heritage and agricultural surroundings.
  • B. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • C. Miranshah
    Miranshah is the main administrative and commercial town of North Waziristan in Pakistan’s Khyber Pakhtunkhwa province, near the border with Afghanistan.
  • D. Miranshah
    Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
  • E. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • 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: Rohana
Triple: [Kingdom of Ruhuna, region, Rohana]
Generated description
Rohana is a historical region in southern Sri Lanka that formed the core territory of the ancient Kingdom of Ruhuna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rohana
Target entity description: Rohana is a historical region in southern Sri Lanka that formed the core territory of the ancient Kingdom of Ruhuna.
  • A. Rojhan
    Rojhan is a town and administrative center in southern Punjab, Pakistan, known for its tribal heritage and agricultural surroundings.
  • B. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • C. Miranshah
    Miranshah is the main administrative and commercial town of North Waziristan in Pakistan’s Khyber Pakhtunkhwa province, near the border with Afghanistan.
  • D. Miranshah
    Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
  • E. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7e4a40819085680c48eed5418a completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47df40a8c8190bd7350ba27f57214 completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.