Triple

T31918605
Position Surface form Disambiguated ID Type / Status
Subject Makarora River E814905 entity
Predicate hasTributary P415 FINISHED
Object Blue River (Makarora)
Blue River (Makarora) is a clear alpine river in New Zealand’s Otago region, known for flowing through remote mountain landscapes before joining the Makarora River.
 E1996657 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: Blue River (Makarora) | Statement: [Makarora River, hasTributary, Blue River (Makarora)]
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: Blue River (Makarora)
Triple: [Makarora River, hasTributary, Blue River (Makarora)]
Generated description
Blue River (Makarora) is a clear alpine river in New Zealand’s Otago region, known for flowing through remote mountain landscapes before joining the Makarora River.

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_69f348f109d88190b5005372c53d2fcd completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b1f2f83c819084f7c5dde7d3b1ad completed May 3, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b6a17bc81909864980a36c3a43a completed June 14, 2026, 11:38 p.m.
NEDg Description generation batch_6a2f3c03822481908f8d5f6f99dea110 completed June 14, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3ece580081909ccc97a87984e251 completed June 14, 2026, 11:52 p.m.
Created at: May 1, 2026, 12:02 a.m.