Triple

T5638613
Position Surface form Disambiguated ID Type / Status
Subject Tomb of Ferdowsi E124209 entity
Predicate honors P2354 FINISHED
Object Ferdowsi E23346 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: Ferdowsi | Statement: [Tomb of Ferdowsi, honors, Ferdowsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferdowsi
Context triple: [Tomb of Ferdowsi, honors, Ferdowsi]
  • A. Ferdowsi chosen
    Ferdowsi was a renowned 10th–11th century Persian poet best known for composing the epic Shahnameh, a cornerstone of Persian literature and cultural identity.
  • B. Rudaki
    Rudaki was a pioneering 10th-century Persian poet often regarded as the father of New Persian literature.
  • C. Nizami Ganjavi
    Nizami Ganjavi was a 12th-century Persian poet renowned for his romantic epic masterpieces, especially the Khamsa (Quintet), which profoundly influenced Persian and wider Islamic literature.
  • D. Hafez
    Hafez was a 14th-century Persian lyric poet renowned for his ghazals, which explore themes of love, mysticism, and the divine, and remain central to Persian literature and culture.
  • E. Ahmad Yasawi
    Ahmad Yasawi was a 12th-century Turkic Sufi mystic and poet whose teachings deeply influenced the spread and development of Islam and Sufism in Central Asia and the Turkic world.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c02283bb248190b29ac6255c78c5ec completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dae1744819083cc8827ade7478c completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:41 p.m.