Triple

T9633668
Position Surface form Disambiguated ID Type / Status
Subject BRI E232869 entity
Predicate hasSubsidiary P254 FINISHED
Object BRI Syariah E232869 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: BRI Syariah | Statement: [BRI, hasSubsidiary, BRI Syariah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BRI Syariah
Context triple: [BRI, hasSubsidiary, BRI Syariah]
  • A. Bank Rakyat Indonesia
    Bank Rakyat Indonesia is one of Indonesia’s largest and oldest state-owned banks, best known for its extensive microfinance and rural banking services.
  • B. BRI chosen
    BRI is one of Indonesia’s largest and oldest state-owned banks, known for its extensive microfinance and rural banking services.
  • C. BRI
    BRI is the IATA airport code for Bari Karol Wojtyła Airport, the main international airport serving the city of Bari in southern Italy.
  • D. BRI
    BRI is a global infrastructure and economic development strategy launched by China to enhance trade and connectivity across Asia, Europe, Africa, and beyond.
  • E. Maybank (former)
    Maybank (former) refers to the period when Malayan Banking Berhad (Maybank), one of Southeast Asia’s largest financial institutions, previously served as a corporate sponsor of the Madagascar: A Crate Adventure attraction.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b28ce2c819086d3c6e4e6ea95a7 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18232e34c8190a19685ee9210e88b completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.