Triple

T24221335
Position Surface form Disambiguated ID Type / Status
Subject Aran economic region E601465 entity
Predicate containsDistrict P22582 FINISHED
Object Imishli District
Imishli District is an administrative district in Azerbaijan located in the central lowland area, known for its agricultural activities and position within the country's Aran region.
E1656817 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: Imishli District | Statement: [Aran economic region, containsDistrict, Imishli District]
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: Imishli District
Triple: [Aran economic region, containsDistrict, Imishli District]
Generated description
Imishli District is an administrative district in Azerbaijan located in the central lowland area, known for its agricultural activities and position within the country's Aran 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_69e29537ca548190b94a37ebe1977caf completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f287d9cb4481909a77616dc123d16b completed April 29, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1032da1ed48190b9c4fa303859b345 completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1033ece8248190bc0ee7fa4976848d completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103487a09c81908960296ff597228f completed May 22, 2026, 10:48 a.m.
Created at: April 17, 2026, 11:59 p.m.