Triple

T17096338
Position Surface form Disambiguated ID Type / Status
Subject Kameswara E414860 entity
Predicate successor P78 FINISHED
Object Jayabaya E89809 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: Jayabaya | Statement: [Kameswara, successor, Jayabaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayabaya
Context triple: [Kameswara, successor, Jayabaya]
  • A. Jayabaya chosen
    Jayabaya was a legendary 12th-century king of the Kediri Kingdom in Java, renowned in Indonesian history and folklore for his just rule and prophetic visions.
  • B. Samaratungga
    Samaratungga was a 9th-century Javanese king of the Sailendra dynasty best known for commissioning the construction of the monumental Borobudur Buddhist temple in Central Java.
  • C. Prabu Padjadjaran
    Prabu Padjadjaran is a legendary Sundanese king associated with the historical Padjadjaran kingdom in West Java, Indonesia.
  • D. Mpu Sindok
    Mpu Sindok was a 10th-century Javanese king who relocated the Medang Kingdom’s power center to East Java and founded the Isyana dynasty.
  • E. Prabu
    Prabu is a royal title historically used for kings or rulers in the Sundanese Kingdom of West Java, Indonesia.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfdc9c88190b4e75bbdf4105c1e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fbcbc08190be2a96d03daf0384 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.