Triple

T20463128
Position Surface form Disambiguated ID Type / Status
Subject Western Victoria E501976 entity
Predicate hasRiver P165 FINISHED
Object Moyne River
The Moyne River is a coastal river in western Victoria, Australia, that flows through agricultural landscapes before entering the Southern Ocean near the town of Port Fairy.
 E2274263 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: Moyne River | Statement: [Western Victoria, hasRiver, Moyne 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: Moyne River
Triple: [Western Victoria, hasRiver, Moyne River]
Generated description
The Moyne River is a coastal river in western Victoria, Australia, that flows through agricultural landscapes before entering the Southern Ocean near the town of Port Fairy.

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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a88374819087e7b97c83074d2c completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e006cf0c819081e9867caed221e3 completed June 29, 2026, 3:01 a.m.
NEDg Description generation batch_6a41e0dc929c8190ba87f8433ad2f9a4 completed June 29, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a41e1631740819093f8e3d82b8f8ac3 completed June 29, 2026, 3:07 a.m.
Created at: April 16, 2026, 11:33 a.m.