Triple

T23934485
Position Surface form Disambiguated ID Type / Status
Subject Prime Minister of Nakhchivan Autonomous Republic E602592 entity
Predicate seat P75 FINISHED
Object Nakhchivan City
Nakhchivan City is the capital and largest city of the Nakhchivan Autonomous Republic, an exclave of Azerbaijan located in the South Caucasus region.
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: [Prime Minister of Nakhchivan Autonomous Republic, seat, 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: [Prime Minister of Nakhchivan Autonomous Republic, seat, Nakhchivan City]
Generated description
Nakhchivan City is the capital and largest city of the Nakhchivan Autonomous Republic, an exclave of Azerbaijan located in the South Caucasus region.

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_6a0f963a3d648190913dd4327c162a05 completed May 21, 2026, 11:33 p.m.
NEDg Description generation batch_6a0f96fc18f481909bac6d5e98f3966e completed May 21, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a0f97e69c988190bfd0fb138248a226 completed May 21, 2026, 11:40 p.m.
Created at: April 17, 2026, 9 p.m.