Triple

T21217075
Position Surface form Disambiguated ID Type / Status
Subject Akhuryan River E522863 entity
Predicate flowsNear P350 FINISHED
Object Ani NE NERFINISHED

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: Ani | Statement: [Akhuryan River, flowsNear, Ani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ani
Context triple: [Akhuryan River, flowsNear, Ani]
  • A. Ani chosen
    Ani was a medieval Armenian city renowned for its wealth, architectural splendor, and status as a major cultural and political center on the Silk Road.
  • B. Ani
    Ani is the Igbo earth goddess associated with morality, fertility, and the underworld in the Odinani traditional religion.
  • C. Ani
    Ani was an ancient Egyptian scribe whose funerary text, the Papyrus of Ani, is one of the most famous and complete illustrated versions of the Book of the Dead.
  • D. Ani
    Ani is an Etruscan sky and supreme deity, often associated with the heavens and divine authority in Etruscan religion.
  • E. Aani
    Aani is a month in the traditional Tamil calendar, typically falling around June–July in the Gregorian calendar and associated with various regional festivals and rituals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734744dcc81908b3065adc93b4b98 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:41 p.m.