Triple

T16767326
Position Surface form Disambiguated ID Type / Status
Subject Queen Pramodhawardhani E407498 entity
Predicate associatedWithTemple P13905 FINISHED
Object Pawon E1234305 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: Pawon | Statement: [Queen Pramodhawardhani, associatedWithTemple, Pawon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pawon
Context triple: [Queen Pramodhawardhani, associatedWithTemple, Pawon]
  • A. Ranggawuni
    Ranggawuni was a 13th-century Javanese king of the Singhasari Kingdom, known for consolidating royal power and laying groundwork for the rise of later Javanese empires.
  • B. Mendut chosen
    Mendut is an ancient Buddhist temple near Borobudur in Central Java, Indonesia, renowned for its large seated Buddha statues and intricate stone carvings.
  • C. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • D. Bima
    Bima is a coastal city on the eastern part of Sumbawa Island in Indonesia, known as a regional hub for trade and culture in West Nusa Tenggara.
  • E. Pakpak Pegagan
    Pakpak Pegagan is a regional dialect of the Pakpak Dairi language spoken by the Pakpak community in parts of North Sumatra, 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b283a9808190ba76110cf3c7f3a9 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:21 a.m.