Triple

T4512653
Position Surface form Disambiguated ID Type / Status
Subject Yadava E102085 entity
Predicate associatedWithKingdom P20193 FINISHED
Object Anarta
Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
 E449109 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: Anarta | Statement: [Yadava, associatedWithKingdom, Anarta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anarta
Context triple: [Yadava, associatedWithKingdom, Anarta]
  • A. Anala
    Anala is a lesser-known name or aspect of Agni, the Vedic god of fire in Hindu mythology.
  • B. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Adara
    Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
  • E. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • 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: Anarta
Triple: [Yadava, associatedWithKingdom, Anarta]
Generated description
Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anarta
Target entity description: Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
  • A. Anala
    Anala is a lesser-known name or aspect of Agni, the Vedic god of fire in Hindu mythology.
  • B. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Adara
    Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
  • E. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5722d8fc81909c5f2d9a38d17a6b completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda42bd41c8190a9a25ccea6947089 completed March 20, 2026, 7:46 p.m.
NEDg Description generation batch_69bda4b7b8bc8190a9ccded70e1b9cc2 completed March 20, 2026, 7:49 p.m.
NED2 Entity disambiguation (via description) batch_69bda51353188190a951f5d6714481e8 completed March 20, 2026, 7:50 p.m.
Created at: March 20, 2026, 1:01 p.m.