Triple

T888077
Position Surface form Disambiguated ID Type / Status
Subject Gilgul E19174 entity
Predicate primaryText P2295 FINISHED
Object Etz Chaim E19178 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: Etz Chaim | Statement: [Gilgul, primaryText, Etz Chaim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etz Chaim
Context triple: [Gilgul, primaryText, Etz Chaim]
  • A. Etz Chaim chosen
    Etz Chaim is a foundational Kabbalistic work, primarily associated with Rabbi Isaac Luria’s mystical teachings as compiled by his disciple Rabbi Chaim Vital.
  • B. Ntumu
    Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • C. Eden
    Eden is a surname most prominently associated with Anthony Eden, the British Conservative politician who served as Prime Minister of the United Kingdom in the 1950s.
  • D. Eden
    Eden is a coastal town on the South Coast of New South Wales, Australia, known for its deep natural harbour and historic whaling industry.
  • E. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace8b8688190ac065f92c017adec completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c021732c8190a3b4020f8e3cb90e completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.