Triple

T23934469
Position Surface form Disambiguated ID Type / Status
Subject Supreme Assembly of Nakhchivan Autonomous Republic E602591 entity
Predicate meetsIn P40 FINISHED
Object Nakhchivan City
Nakhchivan City is the capital and largest city of the Nakhchivan Autonomous Republic of Azerbaijan, serving as its political, economic, and cultural center.
E379342 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: Nakhchivan City | Statement: [Supreme Assembly of Nakhchivan Autonomous Republic, meetsIn, Nakhchivan City]
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: Nakhchivan City
Triple: [Supreme Assembly of Nakhchivan Autonomous Republic, meetsIn, Nakhchivan City]
Generated description
Nakhchivan City is the capital and largest city of the Nakhchivan Autonomous Republic of Azerbaijan, serving as its political, economic, and cultural center.

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_69e2953cf6e081909b8e25a10a52dddc completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1cf9da9c4819085880c6ad521d7ed completed April 29, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e6f1e288190bdd49b84f55eb47f completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7f6d3d0c8190a408c4dee4ac1f93 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f803e39408190b612e1bade70bac2 completed May 21, 2026, 9:59 p.m.
Created at: April 17, 2026, 9 p.m.