Triple

T15849833
Position Surface form Disambiguated ID Type / Status
Subject Dathan E384304 entity
Predicate describedInChapter P36548 FINISHED
Object Numbers 26 E1064952 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: [Dathan, describedInChapter, Numbers 26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numbers 26
Context triple: [Dathan, describedInChapter, Numbers 26]
  • A. Numbers 26 chosen
    Numbers 26 is a chapter in the biblical Book of Numbers that records a census of the Israelites in preparation for entering the Promised Land.
  • B. Numbers 22–24
    Numbers 22–24 is a section of the Hebrew Bible’s Book of Numbers that recounts the story of the diviner Balaam, his encounters with God, and his oracles concerning Israel.
  • C. Numbers 29
    Numbers 29 is a chapter in the Hebrew Bible’s Book of Numbers that details the additional sacrificial offerings prescribed for various Jewish festivals, especially during the month of Tishrei.
  • D. Numbers 28
    Numbers 28 is a chapter in the Hebrew Bible that details the laws and schedules for the daily, Sabbath, and festival sacrificial offerings in the Temple.
  • E. S26
    S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cab0fe48190bd6629e071761e91 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa145f2dc819092db805806b6e1d5 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.