Triple

T31584416
Position Surface form Disambiguated ID Type / Status
Subject Jolfa E805917 entity
Predicate locatedInAdministrativeDivision P40 FINISHED
Object Jolfa County
Jolfa County is an administrative region in East Azerbaijan Province in northwestern Iran, known for its border location along the Aras River and proximity to Armenia and the Nakhchivan Autonomous Republic.
E1992265 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: Jolfa County | Statement: [Jolfa, locatedInAdministrativeDivision, Jolfa County]
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: Jolfa County
Triple: [Jolfa, locatedInAdministrativeDivision, Jolfa County]
Generated description
Jolfa County is an administrative region in East Azerbaijan Province in northwestern Iran, known for its border location along the Aras River and proximity to Armenia and the Nakhchivan Autonomous Republic.

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_69f348d4891c8190b02bae3c8ecb68b7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a80c85748190b0cbf828e9c06b0d completed May 3, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eddc3a83c8190b4508c109947839c completed June 14, 2026, 4:58 p.m.
NEDg Description generation batch_6a2edec9baa48190b808f231c2a917af completed June 14, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_6a2eed3eb2588190bbc5e01fca423b69 completed June 14, 2026, 6:04 p.m.
Created at: April 30, 2026, 10:25 p.m.