Triple

T2325720
Position Surface form Disambiguated ID Type / Status
Subject MRPC E48282 entity
Predicate firstAdoptedByABA P19789 FINISHED
Object 1983 LITERAL 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: 1983 | Statement: [MRPC, firstAdoptedByABA, 1983]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstAdoptedByABA
Context triple: [MRPC, firstAdoptedByABA, 1983]
  • A. firstAdopters chosen
    Indicates that the related entities are among the earliest to adopt, use, or implement a new product, technology, or idea.
  • B. laterAdoptedBy
    Indicates that one entity is adopted by another entity at a later point in time, after some prior state or relationship has already been established.
  • C. firstStandardApproved
    Indicates that an entity is the earliest or initial standard that has received formal approval.
  • D. historicallyAdoptedBy
    Indicates that something (such as a practice, policy, idea, or object) was used or taken up by an entity at some point in the past.
  • E. firstUsedBy
    Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
  • F. None of above.

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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abcc30c5e881908c5d526d7e7491d0 completed March 7, 2026, 6:56 a.m.
PD Predicate disambiguation batch_69abc5926d048190a535e3f23d41de2a completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:50 p.m.