Triple

T3907874
Position Surface form Disambiguated ID Type / Status
Subject Plains of Moab E87248 entity
Predicate mentionedIn P831 FINISHED
Object Numbers 26 E19391 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: Numbers 26 | Statement: [Plains of Moab, mentionedIn, Numbers 26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numbers 26
Context triple: [Plains of Moab, mentionedIn, Numbers 26]
  • A. S26
    S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
  • B. The Book of Numbers
    The Book of Numbers is a popular mathematics book that explores the properties, patterns, and curiosities of numbers in an accessible and engaging way.
  • C. Numbers
    Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
  • D. 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.
  • E. Sifre Bamidbar
    Sifre Bamidbar is a tannaitic midrashic work offering halakhic and aggadic commentary on the biblical Book of Numbers.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed13bb14819096842c6c82342524 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51caf41c881909c5156480b46e794 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.