Triple

T4094039
Position Surface form Disambiguated ID Type / Status
Subject Mathematics of Computation E87769 entity
Predicate publisher P29 FINISHED
Object AMS E182365 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: AMS | Statement: [Mathematics of Computation, publisher, AMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMS
Context triple: [Mathematics of Computation, publisher, AMS]
  • A. AMS
    AMS is the three-letter IATA airport code for Amsterdam Airport Schiphol, the main international airport of the Netherlands.
  • B. AMS chosen
    AMS is a United States Department of Agriculture agency that develops quality standards, grading, and marketing programs for agricultural products to support fair and efficient markets.
  • C. ACS
    ACS is a leading U.S.-based scientific society and publisher focused on advancing the chemistry enterprise and its practitioners worldwide.
  • D. ACS
    ACS is a regional organization that promotes cooperation, trade, and sustainable development among Caribbean and neighboring Latin American states.
  • E. ACS
    ACS is an organization whose name is abbreviated from the Special Committee for Transport, likely functioning as a body focused on transportation policy or oversight.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcdc1ce08190922f55f812b0fda3 completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6cfb288190ac08c3a37327ac9a completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.