Triple

T8837418
Position Surface form Disambiguated ID Type / Status
Subject Magetan E210300 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Magetan (town) E210300 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: Magetan (town) | Statement: [Magetan, hasAdministrativeCenter, Magetan (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magetan (town)
Context triple: [Magetan, hasAdministrativeCenter, Magetan (town)]
  • A. Magetan chosen
    Magetan is a regency and town in East Java, Indonesia, known for its cool climate, agricultural production, and proximity to the scenic Sarangan Lake and Mount Lawu.
  • B. 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.
  • C. Magelang
    Magelang is a city in Central Java, Indonesia, known as the gateway to the famous Borobudur Temple and for its surrounding volcanic and rural landscapes.
  • D. Kepanjen
    Kepanjen is a town in East Java, Indonesia, known as an administrative and growing urban center within the Malang region.
  • E. Pacitan Regency
    Pacitan Regency is a coastal regency in East Java, Indonesia, known for its beaches, caves, and hilly karst landscapes along the southern coast of Java.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa069d7488190ade4caa15fa83cd9 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:48 p.m.