Triple

T1716082
Position Surface form Disambiguated ID Type / Status
Subject Gregory–Aland numbering E37292 entity
Predicate hasAbbreviation P43 FINISHED
Object GA numbering E37292 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: GA numbering | Statement: [Gregory–Aland numbering, hasAbbreviation, GA numbering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GA numbering
Context triple: [Gregory–Aland numbering, hasAbbreviation, GA numbering]
  • A. Alexander–Briggs notation
    Alexander–Briggs notation is a classical system for naming and classifying knots in knot theory, assigning each distinct knot a unique label based on its crossing number and order in knot tables.
  • B. Gödel numbering
    Gödel numbering is a method in mathematical logic that encodes symbols, formulas, and proofs as unique natural numbers, enabling arithmetic to represent and reason about syntactic statements.
  • C. Gregory–Aland numbering chosen
    Gregory–Aland numbering is the standard scholarly cataloging system used to identify and classify Greek New Testament manuscripts.
  • D. Numbers
    Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
  • E. Numbers
    Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6334cd20819086aed7b8adcba4d9 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae3ea048190b25beeb4bd7306ce completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.