Triple

T23064413
Position Surface form Disambiguated ID Type / Status
Subject Thomas A. Jaggar Jr. E574991 entity
Predicate memberOf P10 FINISHED
Object American Geophysical Union NE NERFINISHED

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: American Geophysical Union | Statement: [Thomas A. Jaggar Jr., memberOf, American Geophysical Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Geophysical Union
Context triple: [Thomas A. Jaggar Jr., memberOf, American Geophysical Union]
  • A. American Geophysical Union chosen
    The American Geophysical Union is a nonprofit scientific organization dedicated to advancing Earth and space sciences through research, publications, and conferences.
  • B. AGU
    AGU is a regional public university in Bahrain that focuses on higher education and research serving the Gulf Cooperation Council (GCC) countries.
  • C. AGU
    AGU is the standard code for the Mexican state of Aguascalientes.
  • D. AGU
    AGU is the IATA airport code for Aguascalientes International Airport in Aguascalientes, Mexico.
  • E. Geological Society of America
    The Geological Society of America is a leading professional organization dedicated to advancing the geosciences through research, education, and the dissemination of scientific knowledge.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a2eb5c81908a90e22ff2a56430 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.