Triple

T2887626
Position Surface form Disambiguated ID Type / Status
Subject Rajaram I E59543 entity
Predicate mother P120 FINISHED
Object Soyarabai
Soyarabai was a Maratha queen and consort of Chhatrapati Shivaji Maharaj, known as the mother of Rajaram I and a key figure in the politics of the early Maratha Empire.
 E306692 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: Soyarabai | Statement: [Rajaram I, mother, Soyarabai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soyarabai
Context triple: [Rajaram I, mother, Soyarabai]
  • A. Sabya
    Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
  • B. Orya
    Orya is the ISO 15924 script code representing the Odia script used for writing the Odia language of eastern India.
  • C. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • D. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • E. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • 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: Soyarabai
Triple: [Rajaram I, mother, Soyarabai]
Generated description
Soyarabai was a Maratha queen and consort of Chhatrapati Shivaji Maharaj, known as the mother of Rajaram I and a key figure in the politics of the early Maratha Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soyarabai
Target entity description: Soyarabai was a Maratha queen and consort of Chhatrapati Shivaji Maharaj, known as the mother of Rajaram I and a key figure in the politics of the early Maratha Empire.
  • A. Sabya
    Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
  • B. Orya
    Orya is the ISO 15924 script code representing the Odia script used for writing the Odia language of eastern India.
  • C. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • D. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • E. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317601688190a8a99644579b137c completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b032aa567081909402532d6fe438bc completed March 10, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69b033db495c8190bb6989210d72307b completed March 10, 2026, 3:08 p.m.
Created at: March 6, 2026, 10:03 p.m.