Triple

T35057112
Position Surface form Disambiguated ID Type / Status
Subject Great Salt Desert E1011498 entity
Predicate partOf P40 FINISHED
Object Iranian deserts
Iranian deserts are vast arid regions in Iran characterized by extreme temperatures, salt flats, and sand dunes, including major deserts like the Great Salt Desert (Dasht-e Kavir) and the Lut Desert.
E1935566 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: Iranian deserts | Statement: [Great Salt Desert, partOf, Iranian deserts]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Iranian deserts
Triple: [Great Salt Desert, partOf, Iranian deserts]
Generated description
Iranian deserts are vast arid regions in Iran characterized by extreme temperatures, salt flats, and sand dunes, including major deserts like the Great Salt Desert (Dasht-e Kavir) and the Lut Desert.

Provenance (5 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_69f76dd09c308190a523454853ce842b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f785d2233881909b0b1d604db44e53 completed May 3, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c63bbaac8190809699e4e52a206d completed June 21, 2026, 11:08 a.m.
NEDg Description generation batch_6a37ca1dd3a081909899f9c4c75466f7 completed June 21, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a37cabfc1088190b36b8f1c679ce649 completed June 21, 2026, 11:27 a.m.
Created at: May 3, 2026, 4:01 p.m.