Triple

T5260663
Position Surface form Disambiguated ID Type / Status
Subject Arba Olamot E118814 entity
Predicate worldOrder P22157 FINISHED
Object Asiyah is lowest E118815 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: Asiyah is lowest | Statement: [Arba Olamot, worldOrder, Asiyah is lowest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asiyah is lowest
Context triple: [Arba Olamot, worldOrder, Asiyah is lowest]
  • A. Assiyah chosen
    Assiyah is the lowest of the four Kabbalistic worlds, representing the realm of physical creation and action.
  • B. Asmat
    Asmat is a town located in the Anseba region of Eritrea.
  • C. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • D. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • E. Asmal
    Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84718f788190ab016ea45878b2a7 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe85a3f88190ae014b18b1df202e completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.