Triple

T19214183
Position Surface form Disambiguated ID Type / Status
Subject Coaldale River E480435 entity
Predicate tributaryOf P415 FINISHED
Object Clarence River
The Clarence River is a major river system in northeastern New South Wales, Australia, known for its extensive catchment, rich biodiversity, and importance to regional agriculture and recreation.
E187070 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: Clarence River | Statement: [Coaldale River, tributaryOf, Clarence 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: Clarence River
Triple: [Coaldale River, tributaryOf, Clarence River]
Generated description
The Clarence River is a major river system in northeastern New South Wales, Australia, known for its extensive catchment, rich biodiversity, and importance to regional agriculture and recreation.

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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa397c188190b85bcfd9afd8dce6 completed April 20, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a408c104aac8190820efd2477e57e11 completed June 28, 2026, 2:50 a.m.
NEDg Description generation batch_6a408d9345e081909b4b57e218254858 completed June 28, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_6a408e97e47c81909494b24e0e064f6f completed June 28, 2026, 3:01 a.m.
Created at: April 10, 2026, 1:22 p.m.