Triple

T5656499
Position Surface form Disambiguated ID Type / Status
Subject Universitas Padjadjaran E124631 entity
Predicate city P40 FINISHED
Object Sumedang E520223 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: Sumedang | Statement: [Universitas Padjadjaran, city, Sumedang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumedang
Context triple: [Universitas Padjadjaran, city, Sumedang]
  • A. Sumedang Regency chosen
    Sumedang Regency is an administrative region in West Java, Indonesia, known for its traditional tofu (tahu Sumedang), cultural heritage, and proximity to the Bandung metropolitan area.
  • B. Sukabumi
    Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
  • C. Garut
    Garut is a regency and town in West Java, Indonesia, known for its Sundanese culture, cool highland climate, and agricultural products such as vegetables and sheep.
  • D. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • E. Lebak
    Lebak is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and fishing communities.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fb0b74819084782411bd172834 completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07db9fbec81908f3a87b5304f5ad8 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:42 p.m.