Triple

T19314976
Position Surface form Disambiguated ID Type / Status
Subject RJTM E483071 entity
Predicate hasThreeLetterPrefix P27166 FINISHED
Object RJT 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: RJT | Statement: [RJTM, hasThreeLetterPrefix, RJT]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThreeLetterPrefix
Context triple: [RJTM, hasThreeLetterPrefix, RJT]
  • A. hasThreeLetterForm
    Indicates that an entity’s written or symbolic form consists of exactly three letters.
  • B. hasThirdLetter
    Indicates that a string or sequence possesses a specific character or element in the third position.
  • C. hasInitialLetters chosen
    Indicates that one entity’s initial letters or acronym are derived from or correspond to the other entity.
  • D. hasFourLetterCode
    Indicates that an entity is associated with a code consisting of exactly four characters.
  • E. hasLastThreeLettersMeaning
    Indicates that the last three letters of one entity (typically a word or string) together form a meaningful unit or have a specific semantic significance.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d833034819092a8414d5e0fc26e completed April 20, 2026, 11:26 a.m.
PD Predicate disambiguation batch_69e4dd0ef66881909d489d634eee817a completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:32 p.m.