Triple

T7151525
Position Surface form Disambiguated ID Type / Status
Subject American Journal of Science E166701 entity
Predicate hasAbbreviation P43 FINISHED
Object AJS E166701 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: AJS | Statement: [American Journal of Science, hasAbbreviation, AJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AJS
Context triple: [American Journal of Science, hasAbbreviation, AJS]
  • A. AJS chosen
    AJS is the standard abbreviation for the American Journal of Science, a long-running, peer-reviewed scientific journal primarily focused on geology and related earth sciences.
  • B. AJP
    AJP is the standard abbreviation for the American Journal of Physics, a peer-reviewed journal focusing on physics education and the teaching of physics at the undergraduate and graduate levels.
  • C. ABJ
    ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
  • D. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • E. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f3e4a88190a3110f2368262528 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adad45208190a8e09173a4d26591 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:46 p.m.