Triple

T4768685
Position Surface form Disambiguated ID Type / Status
Subject Ein Sof E105872 entity
Predicate centralInText 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: [Ein Sof, centralInText, Etz Chaim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etz Chaim
Context triple: [Ein Sof, centralInText, 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. Beriah
    Beriah is the Kabbalistic world of Creation, one of the four principal spiritual realms in Jewish mysticism.
  • C. Yadamah
    Yadamah is a town in southwestern Saudi Arabia located within the Najran Region near the border with Yemen.
  • D. 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.
  • E. Maasim
    Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c3f283c8190b2d18ad5159a35ed completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a8f7318819088839becd09577ce completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:21 p.m.