Triple

T35964084
Position Surface form Disambiguated ID Type / Status
Subject Pibor River E1040087 entity
Predicate hasTributary P415 FINISHED
Object Kangen River
The Kangen River is a watercourse in eastern South Sudan that serves as a tributary within the Pibor River basin in the Greater Upper Nile region.
 E2293602 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: Kangen River | Statement: [Pibor River, hasTributary, Kangen 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: Kangen River
Triple: [Pibor River, hasTributary, Kangen River]
Generated description
The Kangen River is a watercourse in eastern South Sudan that serves as a tributary within the Pibor River basin in the Greater Upper Nile 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_69f76e26b21081909fd9ffb3aff6c77a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abfb5a148190afeece84bedb2e40 completed May 3, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7ac711f5708190acab45764419dd2a completed Aug. 11, 2026, 6:54 a.m.
NEDg Description generation batch_6a7ac75a04dc819095520a6ff9d24f14 completed Aug. 11, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a7ac7c0fd788190854d5dfc3e04082a completed Aug. 11, 2026, 6:57 a.m.
Created at: May 3, 2026, 4:07 p.m.