Triple

T20767392
Position Surface form Disambiguated ID Type / Status
Subject Abercrombie River E511132 entity
Predicate hasTributary P415 FINISHED
Object Isabella River
The Isabella River is a minor watercourse in New South Wales, Australia, that forms part of the Abercrombie River catchment within the Murray–Darling Basin.
 E2285943 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: Isabella River | Statement: [Abercrombie River, hasTributary, Isabella 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: Isabella River
Triple: [Abercrombie River, hasTributary, Isabella River]
Generated description
The Isabella River is a minor watercourse in New South Wales, Australia, that forms part of the Abercrombie River catchment within the Murray–Darling Basin.

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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24df58c8190b37398353ce4bf24 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4635edda08819083a7d8c15d3f1490 completed July 2, 2026, 9:57 a.m.
NEDg Description generation batch_6a4639b1a4748190bd72214736991533 completed July 2, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_6a463a335b6c8190ba73e567596ede48 completed July 2, 2026, 10:15 a.m.
Created at: April 16, 2026, 12:36 p.m.