Triple

T21136839
Position Surface form Disambiguated ID Type / Status
Subject Kucha E520835 entity
Predicate culturalInfluenceFrom P2008 FINISHED
Object Iran 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: Iran | Statement: [Kucha, culturalInfluenceFrom, Iran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iran
Context triple: [Kucha, culturalInfluenceFrom, Iran]
  • A. Iran chosen
    Iran is a Middle Eastern country that, after being occupied by British and Soviet forces in 1941, aligned with the Allies in World War II and served as a crucial supply corridor to the Soviet Union.
  • B. Iraan
    Iraan is a small West Texas city known for its oil-industry roots and location along the Pecos River.
  • C. Iranistan
    Iranistan was P.T. Barnum’s lavish, Moorish-style mansion in Bridgeport, Connecticut, famed for its exotic architecture before it was destroyed by fire in the 19th century.
  • D. Irani
    Irani is an Indian surname commonly associated with the Parsi and Irani Zoroastrian communities, notably borne by Indian politician and former television actress Smriti Irani.
  • E. Quhistan
    Quhistan was a historical region in eastern Iran known for its mountainous terrain and as a stronghold of the medieval Nizari Ismailis.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235b89188190a6209c0a1839ee03 completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.