Triple

T30256462
Position Surface form Disambiguated ID Type / Status
Subject Ardakan E769360 entity
Predicate locatedInDesertRegion P40 FINISHED
Object Yazd desert area
Yazd desert area is an arid region in central Iran known for its harsh climate, sand and salt deserts, and traditional desert-adapted settlements and architecture.
 E1905966 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: Yazd desert area | Statement: [Ardakan, locatedInDesertRegion, Yazd desert area]
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: Yazd desert area
Triple: [Ardakan, locatedInDesertRegion, Yazd desert area]
Generated description
Yazd desert area is an arid region in central Iran known for its harsh climate, sand and salt deserts, and traditional desert-adapted settlements and architecture.

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_69f22484a5f48190b678cd607700bc82 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f680a511708190a208959af5a8d016 completed May 2, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27645988f481909ff73691d3d9d1ac completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a276576a8088190acca28b607d0fb41 completed June 9, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_6a2766aef0c08190ad736595abed58f3 completed June 9, 2026, 1:04 a.m.
Created at: April 29, 2026, 7:41 p.m.