Triple

T11297085
Position Surface form Disambiguated ID Type / Status
Subject UI E267480 entity
Predicate hasCampus P116 FINISHED
Object Salemba campus E267479 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: Salemba campus | Statement: [UI, hasCampus, Salemba campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salemba campus
Context triple: [UI, hasCampus, Salemba campus]
  • A. Salemba campus chosen
    Salemba campus is an urban University of Indonesia campus in central Jakarta known for hosting several of the university’s health, postgraduate, and professional study programs.
  • B. Balitai Campus
    Balitai Campus is the historic main campus of Nankai University in Tianjin, China, known for its long academic tradition and central role in the university’s teaching and research.
  • C. Baranangsiang Campus
    Baranangsiang Campus is one of the main campuses of IPB University, located in Bogor and known for hosting various academic and administrative facilities.
  • D. Tembalang Campus
    Tembalang Campus is the main and largest campus area of Diponegoro University in Semarang, Indonesia, housing most of its academic faculties and facilities.
  • E. Karangmalang campus
    Karangmalang campus is the main campus area of Yogyakarta State University in Yogyakarta, Indonesia, housing most of its academic and administrative facilities.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a262e08190a7c1eacbc6019496 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a32ac308190828e1138522527fb completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:32 p.m.