Triple

T28643130
Position Surface form Disambiguated ID Type / Status
Subject Bahr Kéita E724982 entity
Predicate riverSystem P1009 FINISHED
Object Chari–Logone river system
The Chari–Logone river system is a major Central African river network that drains much of Chad and the Central African Republic, ultimately feeding Lake Chad and supporting vital regional ecosystems and human settlements.
 E1834180 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: Chari–Logone river system | Statement: [Bahr Kéita, riverSystem, Chari–Logone river system]
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: Chari–Logone river system
Triple: [Bahr Kéita, riverSystem, Chari–Logone river system]
Generated description
The Chari–Logone river system is a major Central African river network that drains much of Chad and the Central African Republic, ultimately feeding Lake Chad and supporting vital regional ecosystems and human settlements.

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_69f01d8423888190bd2f4e52605bf261 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f652acba9c819084754162571164a6 completed May 2, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a23e9d0c8190b8033fb172db9027 completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a695a9988190bd815507f8027193 completed June 6, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_6a24aab9053081909350507082946a76 completed June 6, 2026, 11:18 p.m.
Created at: April 28, 2026, 4:46 a.m.