Triple

T27547820
Position Surface form Disambiguated ID Type / Status
Subject Jalalabad District E695410 entity
Predicate locatedInValley P40 FINISHED
Object Kabul River valley
The Kabul River valley is a fertile and strategically important river valley in eastern Afghanistan that supports major settlements, agriculture, and trade routes, including the city of Jalalabad.
 E504524 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: Kabul River valley | Statement: [Jalalabad District, locatedInValley, Kabul River valley]
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: Kabul River valley
Triple: [Jalalabad District, locatedInValley, Kabul River valley]
Generated description
The Kabul River valley is a fertile and strategically important river valley in eastern Afghanistan that supports major settlements, agriculture, and trade routes, including the city of Jalalabad.

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_69ef5386c3e08190bfe33aa326e1f72b completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62f866be881909e797dc83902952f completed May 2, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0ca95b881909ac746dda60da041 completed May 24, 2026, 10:19 a.m.
NEDg Description generation batch_6a12d130bd688190b743290afc80c33a completed May 24, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a12d1ac77088190822c76884a360391 completed May 24, 2026, 10:23 a.m.
Created at: April 27, 2026, 1:33 p.m.