Triple

T7227180
Position Surface form Disambiguated ID Type / Status
Subject Central Java E154809 entity
Predicate hasMajorCity P316 FINISHED
Object Salatiga E511806 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: Salatiga | Statement: [Central Java, hasMajorCity, Salatiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salatiga
Context triple: [Central Java, hasMajorCity, Salatiga]
  • A. Salatiga chosen
    Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
  • B. 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.
  • C. Citeureup
    Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
  • D. Demak
    Demak is a historic coastal town in Central Java, Indonesia, known as an early center of Islamic rule and trade in the region.
  • E. Prabumulih
    Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9df72cc81908d1c04e6e310fbb4 completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8275b07d08190a796f2b9884fcc33 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 2:54 p.m.