Triple

T21482564
Position Surface form Disambiguated ID Type / Status
Subject Bourke’s Luck Potholes E530031 entity
Predicate locatedAtConfluenceOf P11842 FINISHED
Object Treur River
The Treur River is a river in South Africa’s Mpumalanga province, known for its dramatic canyon scenery and for meeting the Blyde River at the famous Bourke’s Luck Potholes.
E2287378 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: Treur River | Statement: [Bourke’s Luck Potholes, locatedAtConfluenceOf, Treur 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: Treur River
Triple: [Bourke’s Luck Potholes, locatedAtConfluenceOf, Treur River]
Generated description
The Treur River is a river in South Africa’s Mpumalanga province, known for its dramatic canyon scenery and for meeting the Blyde River at the famous Bourke’s Luck Potholes.

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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea34c4388190adc78d209d2aafb8 completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a47864334008190b4245d660ce3fbc6 completed July 3, 2026, 9:52 a.m.
NEDg Description generation batch_6a478753162c8190bee5906d474c2949 completed July 3, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a4787f3c5ec8190aa5bdb70980ff559 completed July 3, 2026, 9:59 a.m.
Created at: April 16, 2026, 6:21 p.m.