Triple

T23016747
Position Surface form Disambiguated ID Type / Status
Subject Clutha River E573049 entity
Predicate alsoKnownAs P39 FINISHED
Object Molyneux River
The Molyneux River is the former and still occasionally used name for New Zealand’s Clutha River, one of the country’s largest and swiftest rivers in the South Island.
 E1789077 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: Molyneux River | Statement: [Clutha River, alsoKnownAs, Molyneux 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: Molyneux River
Triple: [Clutha River, alsoKnownAs, Molyneux River]
Generated description
The Molyneux River is the former and still occasionally used name for New Zealand’s Clutha River, one of the country’s largest and swiftest rivers in the South Island.

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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e59a1c8190b8048a399a4727cb completed April 29, 2026, 4:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12ec8093c8819099f32667baaf490a completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ee3f436c8190b1daf7ec5041304e completed May 24, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a12eef54e2c8190b9e8d589f036b066 completed May 24, 2026, 12:28 p.m.
Created at: April 17, 2026, 3:52 p.m.