Triple

T6164039
Position Surface form Disambiguated ID Type / Status
Subject Association of Indian Universities E137512 entity
Predicate shortName P43 FINISHED
Object AIU E555371 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: AIU | Statement: [Association of Indian Universities, shortName, AIU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIU
Context triple: [Association of Indian Universities, shortName, AIU]
  • A. AIU chosen
    AIU (Association of Indian Universities) is a national organization in India that represents and coordinates the activities of universities, promoting higher education standards and inter-university collaboration.
  • B. UAI
    UAI is the abbreviation for the Union Académique Internationale, a global federation that coordinates and promotes large-scale collaborative research projects in the humanities and social sciences.
  • C.
    AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
  • D. AITI
    AITI is an organization known for sponsoring and supporting initiatives related to the Bengali-language internet domain .bn.
  • E. AAI
    AAI is India’s government-owned organization responsible for creating, maintaining, and managing civil aviation infrastructure and air traffic services across the country’s airports and airspace.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6036f88190a4bf540e7fe8d48d completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419e7f0481908b7ce6f36871f1ad completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.