Triple

T18163811
Position Surface form Disambiguated ID Type / Status
Subject Lumbung Temple E434835 entity
Predicate nearCity P350 FINISHED
Object Klaten NE NERFINISHED

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: Klaten | Statement: [Lumbung Temple, nearCity, Klaten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaten
Context triple: [Lumbung Temple, nearCity, Klaten]
  • A. Cilacap
    Cilacap is a coastal city in southern Central Java, Indonesia, known for its major port, industrial facilities, and proximity to the Indian Ocean.
  • B. Klaten Regency chosen
    Klaten Regency is an administrative region in Central Java, Indonesia, known for encompassing part of the historic Prambanan Temple complex and its surrounding cultural and agricultural landscapes.
  • C. Trenggalek
    Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
  • D. Ambarawa
    Ambarawa is a town in Central Java, Indonesia, known as a historical area near the ancient Gedong Songo Hindu temple complex and former colonial-era military sites.
  • E. Purworejo
    Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec55a088190868ee0b0a310fefb completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.