Triple

T22069505
Position Surface form Disambiguated ID Type / Status
Subject Purworejo E545365 entity
Predicate hasInteriorArea P6655 FINISHED
Object northern Purworejo 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: northern Purworejo | Statement: [Purworejo, hasInteriorArea, northern Purworejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Purworejo
Context triple: [Purworejo, hasInteriorArea, northern Purworejo]
  • A. Purworejo chosen
    Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
  • B. Purwodadi
    Purwodadi is an Indonesian town in Central Java that serves as an administrative, economic, and cultural hub for the surrounding rural region.
  • C. 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.
  • D. Magelang Regency
    Magelang Regency is an administrative region in Central Java, Indonesia, known for its proximity to the Borobudur Temple and its mountainous landscapes surrounding the city of Magelang.
  • E. Banjarnegara
    Banjarnegara is a regency-level town in Central Java, Indonesia, known as an administrative and economic center in the region.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1288724e881908b38fe7e56d3b448 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.