Triple

T17485994
Position Surface form Disambiguated ID Type / Status
Subject APA Style Guidelines E425777 entity
Predicate predecessorEdition P22508 FINISHED
Object 6th edition 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: 6th edition | Statement: [APA Style Guidelines, predecessorEdition, 6th edition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorEdition
Context triple: [APA Style Guidelines, predecessorEdition, 6th edition]
  • A. predecessorVersion chosen
    Indicates that one entity is an earlier or prior version in a version sequence relative to another entity.
  • B. predecessorSystem
    Indicates that one system existed or was in use before and was replaced or superseded by another system.
  • C. predecessorSystemType
    Indicates that one system type functioned as the predecessor or earlier version to another system type.
  • D. predecessorPlatformCode
    Indicates that one platform’s code identifies a platform that directly preceded another in a sequence or version lineage.
  • E. predecessor
    Indicates that one entity comes before another in an ordered sequence or succession.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d1f4708190b7c4d61326a2c4a4 completed April 19, 2026, 3:53 a.m.
PD Predicate disambiguation batch_69e3b4f341c88190adabe526d8903b05 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:48 a.m.