Triple

T4296437
Position Surface form Disambiguated ID Type / Status
Subject Kutaraja E99724 entity
Predicate associatedWith P37 FINISHED
Object Anusapati E88584 NE FINISHED

How this triple was built (2 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: Anusapati | Statement: [Kutaraja, associatedWith, Anusapati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anusapati
Context triple: [Kutaraja, associatedWith, Anusapati]
  • A. Anusapati chosen
    Anusapati was a 13th-century Javanese king who ruled the Singhasari Kingdom in East Java, Indonesia.
  • B. Wiradhuri
    Wiradhuri refers to the Wiradjuri people, one of the largest Aboriginal groups in New South Wales, Australia, known for their rich cultural traditions and strong connection to the land.
  • C. Tarapith
    Tarapith is a renowned Hindu pilgrimage town in India famous for its temple dedicated to the goddess Tara and associated tantric practices.
  • D. Saketa
    Saketa is the ancient name of the historic Indian city now known as Ayodhya, a major cultural and religious center in Hindu tradition.
  • E. Santalī
    Santalī is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509aebd48190af38f2e37f07869a completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7439b3481908d2554f7b86002aa completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.