Triple

T4116403
Position Surface form Disambiguated ID Type / Status
Subject Ranggawuni E90301 entity
Predicate coRuler P13111 FINISHED
Object Mahisa Campaka E400356 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: Mahisa Campaka | Statement: [Ranggawuni, coRuler, Mahisa Campaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahisa Campaka
Context triple: [Ranggawuni, coRuler, Mahisa Campaka]
  • A. Mahisa Campaka chosen
    Mahisa Campaka was a ruler in the Singhasari kingdom of Java, known for preceding and being succeeded by Panji Tohjaya in the 13th century.
  • B. Taur Matan Ruak
    Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
  • C. Maufra
    Maufra is a French surname most notably associated with the landscape painter and printmaker Maxime Maufra, linked to the Impressionist and Pont-Aven movements.
  • D. Mount Loilaeng
    Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
  • E. Mahameru
    Mahameru is the revered local name for Mount Semeru, the highest and one of the most active volcanoes on the island of Java in 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01f1e2e08190a6b73d7674c34e88 completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b90054081908a51c366c6fe51d7 completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.