Triple

T16421393
Position Surface form Disambiguated ID Type / Status
Subject House of Buya E398826 entity
Predicate region P40 FINISHED
Object Iran E3491 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: Iran | Statement: [House of Buya, region, Iran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iran
Context triple: [House of Buya, region, 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. Quhistan
    Quhistan was a historical region in eastern Iran known for its mountainous terrain and as a stronghold of the medieval Nizari Ismailis.
  • E. Iranun
    Iranun is an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Sabah and Mindanao, closely related to Maranao and Maguindanaon.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f735b08190aec8331f54817462 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c55bba481909bca6cc17e1dfcf5 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.