Triple

T19712382
Position Surface form Disambiguated ID Type / Status
Subject Khabur E473380 entity
Predicate hasTributary P415 FINISHED
Object Radd River
The Radd River is a lesser-known tributary stream that feeds into the Khabur River in the Upper Mesopotamian region of the Middle East.
E2258439 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: Radd River | Statement: [Khabur, hasTributary, Radd 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: Radd River
Triple: [Khabur, hasTributary, Radd River]
Generated description
The Radd River is a lesser-known tributary stream that feeds into the Khabur River in the Upper Mesopotamian region of the Middle East.

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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64408bde08190aa3bef8516491e03 completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41710232788190b0219d22ff47f7d7 completed June 28, 2026, 7:07 p.m.
NEDg Description generation batch_6a4172eb95fc819082d3ce8090f9b20c completed June 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a41736266c08190810e3a1748d0ff59 completed June 28, 2026, 7:17 p.m.
Created at: April 10, 2026, 1:46 p.m.