Triple

T23245541
Position Surface form Disambiguated ID Type / Status
Subject Mosaic Law E581573 entity
Predicate includesBook P1393 FINISHED
Object Numbers NE NERFINISHED

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: Numbers | Statement: [Mosaic Law, includesBook, Numbers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numbers
Context triple: [Mosaic Law, includesBook, Numbers]
  • A. Numbers chosen
    Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
  • B. Numbers
    Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
  • C. Numbers
    "Numbers" is a song that predates and is thematically or stylistically connected to Masterjam, likely showcasing the artist’s earlier musical approach.
  • D. Digits
    "Digits" is a trap-influenced hip-hop single by Young Thug known for its melodic delivery and distinctive production.
  • E. On Numbers
    "On Numbers" is a lost philosophical treatise by the Neopythagorean thinker Numenius of Apamea, likely exploring the metaphysical and symbolic significance of numbers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f0f5d88190a497f14601f9bf29 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.