Triple

T9492450
Position Surface form Disambiguated ID Type / Status
Subject University of Guanajuato E228922 entity
Predicate memberOf P10 FINISHED
Object ANUIES E154991 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: ANUIES | Statement: [University of Guanajuato, memberOf, ANUIES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANUIES
Context triple: [University of Guanajuato, memberOf, ANUIES]
  • A. ANUIES chosen
    ANUIES is a national association that brings together Mexican higher education institutions to coordinate policies, promote academic development, and strengthen the country’s university system.
  • B. Anii
    Anii is a Niger-Congo language spoken primarily in parts of Benin and Togo in West Africa.
  • C. AANES
    AANES is a de facto self-governing political entity in northern and eastern Syria, often associated with Kurdish-led, multi-ethnic autonomous administration and its experiment in decentralized, democratic governance.
  • D. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • E. Anini
    Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80ca26bc819084add20027aea4a5 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d27c0808190baf5ae04a1b915bb completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.