Triple

T22156926
Position Surface form Disambiguated ID Type / Status
Subject Golden Bay / Mohua E547561 entity
Predicate hasInflow P967 FINISHED
Object Aorere River
The Aorere River is a major river in New Zealand’s South Island that flows through northwest Tasman District before emptying into Golden Bay / Mohua.
E1814274 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: Aorere River | Statement: [Golden Bay / Mohua, hasInflow, Aorere 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: Aorere River
Triple: [Golden Bay / Mohua, hasInflow, Aorere River]
Generated description
The Aorere River is a major river in New Zealand’s South Island that flows through northwest Tasman District before emptying into Golden Bay / Mohua.

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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a29eb848190b0531ce7e45b1003 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16277bde7c8190b0c7763b41f34773 completed May 26, 2026, 11:06 p.m.
NEDg Description generation batch_6a1628bdc5ac81909d5f7dbdfad7934c completed May 26, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_6a16294f42508190aac4e3617131dafe completed May 26, 2026, 11:14 p.m.
Created at: April 16, 2026, 8:33 p.m.