Triple

T32320913
Position Surface form Disambiguated ID Type / Status
Subject Aghsu District E825772 entity
Predicate locatedIn P40 FINISHED
Object Shirvan region of Azerbaijan
The Shirvan region of Azerbaijan is a historical and geographical area in central Azerbaijan known for its fertile plains, rich cultural heritage, and role as a former political center under the Shirvanshah dynasty.
E2002252 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: Shirvan region of Azerbaijan | Statement: [Aghsu District, locatedIn, Shirvan region of Azerbaijan]
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: Shirvan region of Azerbaijan
Triple: [Aghsu District, locatedIn, Shirvan region of Azerbaijan]
Generated description
The Shirvan region of Azerbaijan is a historical and geographical area in central Azerbaijan known for its fertile plains, rich cultural heritage, and role as a former political center under the Shirvanshah dynasty.

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_69f34912d0c48190bba75770660320e9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bdbf0f288190b7c6338cac808e56 completed May 3, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a30571e321881908f4efb5eabb0d49e completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a306071569c81908ce0b86f3cb13b23 completed June 15, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_6a3060d5177081909dbe1901210cc7d1 completed June 15, 2026, 8:30 p.m.
Created at: May 1, 2026, 12:46 a.m.