Triple

T6810910
Position Surface form Disambiguated ID Type / Status
Subject Gadjah Mada University E156629 entity
Predicate memberOf P10 FINISHED
Object ASEA-UNINET E45219 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: ASEA-UNINET | Statement: [Gadjah Mada University, memberOf, ASEA-UNINET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASEA-UNINET
Context triple: [Gadjah Mada University, memberOf, ASEA-UNINET]
  • A. ASEA-UNINET chosen
    ASEA-UNINET is an international academic network that promotes cooperation in higher education and research between universities in Europe and Southeast Asia.
  • B. ASEA
    ASEA was a major Swedish electrical engineering and power company that became a global leader in industrial technology before merging to form ABB.
  • C. ASEC
    ASEC is the commonly used abbreviation for the ASEAN Secretariat, the administrative body that supports and coordinates the activities of the Association of Southeast Asian Nations.
  • D. ECASA
    ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
  • E. UCEI
    UCEI is the acronym for the Union of Italian Jewish Communities, the central organization representing and coordinating Jewish communities throughout Italy.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30ded6481908fd64611607c610e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa7dc3c81909ef422b5c51ae6be completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.