Triple

T21685716
Position Surface form Disambiguated ID Type / Status
Subject Zal-e Zar E535222 entity
Predicate advises P488 FINISHED
Object Manuchehr 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: Manuchehr | Statement: [Zal-e Zar, advises, Manuchehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuchehr
Context triple: [Zal-e Zar, advises, Manuchehr]
  • A. Manuchehr chosen
    Manuchehr is a legendary king in Iranian mythology, celebrated in epic literature such as the Shahnameh as a just and heroic ruler of the early Pishdadian era.
  • B. Manuchehri
    Manuchehri was an 11th-century Persian court poet renowned for his vivid nature imagery, musical style, and panegyrics composed under the Ghaznavid dynasty.
  • C. Mahneshan
    Mahneshan is a small city in northwestern Iran known for its rural surroundings and location within Zanjan Province.
  • D. Mehroni
    Mehroni is a town in the Lalitpur district of Uttar Pradesh, India, known as a local administrative and market center for surrounding rural areas.
  • E. Serakhulle
    Serakhulle refers to the Soninke people, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cb69f081908ed0c7ebea429898 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.