Triple

T33564540
Position Surface form Disambiguated ID Type / Status
Subject Getik River valley E859719 entity
Predicate namedAfter P63 FINISHED
Object Getik River
The Getik River is a waterway in Armenia known for flowing through scenic valleys and contributing to the region’s natural and cultural landscape.
 E2297949 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: Getik River | Statement: [Getik River valley, namedAfter, Getik River]
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: Getik River
Triple: [Getik River valley, namedAfter, Getik River]
Generated description
The Getik River is a waterway in Armenia known for flowing through scenic valleys and contributing to the region’s natural and cultural landscape.

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_69f3497c1d288190a844ea699914e038 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f715bc3c8190abc7015a6d06c3a6 completed May 3, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a840c5270a48190beff85359f488066 completed Aug. 18, 2026, 7:40 a.m.
NEDg Description generation batch_6a840d41c6108190bf5b9effe30a7b2d completed Aug. 18, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a840e3464488190b34a2678f8dd17ae completed Aug. 18, 2026, 7:48 a.m.
Created at: May 1, 2026, 1:40 a.m.