Triple

T11122480
Position Surface form Disambiguated ID Type / Status
Subject Kadamba dynasty E263050 entity
Predicate hasMonarch P765 FINISHED
Object Mrgesavarma
Mrgesavarma was a ruler of the ancient Kadamba dynasty of Karnataka, known for contributing to the early development of regional power and culture in the western Deccan.
E906105 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: Mrgesavarma | Statement: [Kadamba dynasty, hasMonarch, Mrgesavarma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrgesavarma
Context triple: [Kadamba dynasty, hasMonarch, Mrgesavarma]
  • A. Sauviat
    Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
  • B. Masattuvan
    Masattuvan is a character from ancient Tamil literature known primarily as the wealthy merchant father of Kovalan in the epic Silappatikaram.
  • C. Alværn
    Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
  • D. Sijilmasa
    Sijilmasa was a medieval Moroccan oasis city that flourished as a key commercial hub linking North Africa with sub-Saharan gold and trade networks.
  • E. Murist
    Murist is a small municipality in the canton of Fribourg in western Switzerland, situated within the Broye district.
  • 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: Mrgesavarma
Triple: [Kadamba dynasty, hasMonarch, Mrgesavarma]
Generated description
Mrgesavarma was a ruler of the ancient Kadamba dynasty of Karnataka, known for contributing to the early development of regional power and culture in the western Deccan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mrgesavarma
Target entity description: Mrgesavarma was a ruler of the ancient Kadamba dynasty of Karnataka, known for contributing to the early development of regional power and culture in the western Deccan.
  • A. Sauviat
    Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
  • B. Masattuvan
    Masattuvan is a character from ancient Tamil literature known primarily as the wealthy merchant father of Kovalan in the epic Silappatikaram.
  • C. Alværn
    Alværn is a small settlement in Nesodden municipality in Viken county, Norway, known primarily as a residential area within commuting distance of Oslo.
  • D. Sijilmasa
    Sijilmasa was a medieval Moroccan oasis city that flourished as a key commercial hub linking North Africa with sub-Saharan gold and trade networks.
  • E. Murist
    Murist is a small municipality in the canton of Fribourg in western Switzerland, situated within the Broye district.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79afa0ab88190ab6d61df8cf485ec completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8643748190a7801fc401dd2b5a completed April 19, 2026, 1:19 a.m.
NEDg Description generation batch_69e42f3eaa0c819095e5af20b910d979 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:28 p.m.