Triple

T21586708
Position Surface form Disambiguated ID Type / Status
Subject Midland Line E532668 entity
Predicate includesRiverCrossing P225 FINISHED
Object Taramakau River
The Taramakau River is a major river on New Zealand’s South Island that flows from the Southern Alps to the Tasman Sea on the West Coast.
 E1768711 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: Taramakau River | Statement: [Midland Line, includesRiverCrossing, Taramakau 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: Taramakau River
Triple: [Midland Line, includesRiverCrossing, Taramakau River]
Generated description
The Taramakau River is a major river on New Zealand’s South Island that flows from the Southern Alps to the Tasman Sea on the West Coast.

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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb6137fc8190840b7c1275e62a1d completed April 27, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7a1e53081908e89c77a8231a5e6 completed May 24, 2026, 7:24 a.m.
NEDg Description generation batch_6a12a81054a0819082a8d81a803e9d5c completed May 24, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_6a12a84e1fc88190b93efc6dd11de7bd completed May 24, 2026, 7:27 a.m.
Created at: April 16, 2026, 6:31 p.m.