Triple

T5260660
Position Surface form Disambiguated ID Type / Status
Subject Arba Olamot E118814 entity
Predicate hasComponent P35 FINISHED
Object Asiyah 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 | Statement: [Arba Olamot, hasComponent, Asiyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asiyah
Context triple: [Arba Olamot, hasComponent, Asiyah]
  • A. Assiyah chosen
    Assiyah is the lowest of the four Kabbalistic worlds, representing the realm of physical creation and action.
  • B. Roya
    Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
  • C. Mindia
    Mindia is a Georgian epic poem by Vazha-Pshavela that explores themes of freedom, nature, and moral duty through the tragic fate of its idealistic hero.
  • D. Aqrabi
    Aqrabi was a small sultanate and tribal territory in what is now southern Yemen, historically incorporated into the British-backed Federation of South Arabia.
  • E. Azania
    Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
  • 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_69bd7bcf026c8190881b6e14b962a3c9 completed March 20, 2026, 4:54 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.