Triple

T26659240
Position Surface form Disambiguated ID Type / Status
Subject The Same Subject Continued: Concerning the General Power of Taxation E666593 entity
Predicate seriesNumberOfContainingEssay P102560 FINISHED
Object 31 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: 31 | Statement: [The Same Subject Continued: Concerning the General Power of Taxation, seriesNumberOfContainingEssay, 31]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seriesNumberOfContainingEssay
Context triple: [The Same Subject Continued: Concerning the General Power of Taxation, seriesNumberOfContainingEssay, 31]
  • A. numberOfEssays
    Indicates the quantity of essays associated with a given entity or context.
  • B. seriesNumberOfWorks chosen
    Indicates that an entity is assigned a specific position or sequence number within a series of related works.
  • C. containsEssayBy
    Indicates that one entity (such as a collection, volume, or publication) includes an essay authored by another specified entity.
  • D. numberInAnthology
    Indicates the specific position or sequence number that a work occupies within an anthology.
  • E. containsEssay
    Indicates that one entity includes or holds an essay as part of its contents.
  • 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_69ee9cf8c7188190b9b00270a8a89164 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f68805b4848190b75da14996d52a38 completed May 2, 2026, 11:25 p.m.
PD Predicate disambiguation batch_69f68609c0b08190a8e1238a4d97c270 completed May 2, 2026, 11:17 p.m.
Created at: April 27, 2026, 2:36 a.m.