Triple

T24185488
Position Surface form Disambiguated ID Type / Status
Subject Dire Dawa E599544 entity
Predicate river P165 FINISHED
Object Goro River
The Goro River is a watercourse flowing through the city of Dire Dawa in eastern Ethiopia, contributing to the region’s drainage and local landscape.
 E2124760 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: Goro River | Statement: [Dire Dawa, river, Goro 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: Goro River
Triple: [Dire Dawa, river, Goro River]
Generated description
The Goro River is a watercourse flowing through the city of Dire Dawa in eastern Ethiopia, contributing to the region’s drainage and local 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_69e288cdc8b88190bf2f835d3cb4ca28 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e1d8ccb8819096880d18d8818382 completed April 29, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37c60e47588190ab5d9ee2cce0b532 completed June 21, 2026, 11:07 a.m.
NEDg Description generation batch_6a37c6e970f48190b35c179e766c58cc completed June 21, 2026, 11:11 a.m.
NED2 Entity disambiguation (via description) batch_6a37cad6f71c81908794928c0e20ab20 completed June 21, 2026, 11:28 a.m.
Created at: April 17, 2026, 11:35 p.m.