Triple

T17366494
Position Surface form Disambiguated ID Type / Status
Subject Citrullus colocynthis E422199 entity
Predicate distribution P1356 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: [Citrullus colocynthis, distribution, Iran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iran
Context triple: [Citrullus colocynthis, distribution, 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a50c9ec8190b518fdf80808af53 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954afb088190a92a0f32f901f13f completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.