Triple

T176614
Position Surface form Disambiguated ID Type / Status
Subject Persian language E3587 entity
Predicate hasNotableWork P4 FINISHED
Object Divan of Hafez E22782 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: Divan of Hafez | Statement: [Persian language, hasNotableWork, Divan of Hafez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Divan of Hafez
Context triple: [Persian language, hasNotableWork, Divan of Hafez]
  • A. Hafez chosen
    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.
  • B. Ferdowsi
    Ferdowsi was a renowned 10th–11th century Persian poet best known for composing the epic Shahnameh, a cornerstone of Persian literature and cultural identity.
  • C. Saadi
    Saadi was a renowned 13th-century Persian poet and prose writer best known for his moralistic and philosophical works such as "Bustan" and "Gulistan."
  • D. Rumi
    Rumi was a 13th-century Persian poet, Islamic scholar, and Sufi mystic whose spiritually profound and lyrical works have made him one of the most beloved poets in world literature.
  • E. Shahnameh
    Shahnameh is an epic poem by Ferdowsi that recounts the mythological and historical past of Greater Iran and is considered one of the most important works of Persian literature.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25bafd5808190a0a0cb2b21ce007f completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30283df7081909701063a3ffa82aa completed Feb. 28, 2026, 2:58 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.