Triple

T2839410
Position Surface form Disambiguated ID Type / Status
Subject Shiraz, Iran E62427 entity
Predicate hasFamousResident P1092 FINISHED
Object 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: Hafez | Statement: [Shiraz, Iran, hasFamousResident, Hafez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hafez
Context triple: [Shiraz, Iran, hasFamousResident, 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. 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."
  • C. Mir Ali Tabrizi
    Mir Ali Tabrizi was a renowned 14th-century Persian calligrapher credited with pioneering the elegant Nastaʿlīq script that became the classical style of Persian writing.
  • D. 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.
  • E. 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.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdef145f08190be8556bc696ba3ab completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8cf32d08190bda89a513082813f completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.