Triple

T5656504
Position Surface form Disambiguated ID Type / Status
Subject Universitas Padjadjaran E124631 entity
Predicate abbreviation P43 FINISHED
Object UNPAD E124631 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: UNPAD | Statement: [Universitas Padjadjaran, abbreviation, UNPAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNPAD
Context triple: [Universitas Padjadjaran, abbreviation, UNPAD]
  • A. Universitas Padjadjaran chosen
    Universitas Padjadjaran is a major public university in Indonesia known for its comprehensive academic programs and strong research profile.
  • B. Andalas University
    Andalas University is one of Indonesia’s oldest and leading public universities, located in Padang, West Sumatra, and known for its wide range of academic programs and research contributions.
  • C. Telkom University
    Telkom University is a private Indonesian university in Bandung known for its strong focus on information and communication technology, engineering, and business education.
  • D. IPB University
    IPB University is a leading Indonesian public university renowned for its focus on agriculture, life sciences, and environmental studies.
  • E. Institut Teknologi Bandung
    Institut Teknologi Bandung is a leading Indonesian public university renowned for its strong programs in science, engineering, and technology.
  • 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_69c04d9ec1248190aff680acb4064a49 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.