Triple

T348467
Position Surface form Disambiguated ID Type / Status
Subject Tanakh E6991 entity
Predicate alternativeName P39 FINISHED
Object Mikra E17773 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: Mikra | Statement: [Tanakh, alternativeName, Mikra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikra
Context triple: [Tanakh, alternativeName, Mikra]
  • A. Milyan
    Milyan is an extinct Anatolian Indo-European language once spoken in southwestern Asia Minor, known primarily from a small corpus of inscriptions.
  • B. Bahir
    Bahir is an early and influential mystical work of Jewish Kabbalah that explores esoteric interpretations of the Hebrew Bible and divine emanations.
  • C. Pishin
    Pishin is a town and district in present-day Balochistan, Pakistan, known historically as an agricultural and trade center in the region.
  • D. Golus chosen
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • E. Runashimi
    Runashimi is the Indigenous Kichwa (Quechua) language spoken primarily in the Andean regions of South America.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1c1c908190b3a01de893207ed1 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7ecd23881909e10bb84f266d2d1 completed March 1, 2026, 6:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.