Triple

T30177547
Position Surface form Disambiguated ID Type / Status
Subject Kaaimans River E767100 entity
Predicate crossedBy P416 FINISHED
Object N2 national route
The N2 national route is a major South African highway running along the coast and connecting key cities such as Cape Town, Port Elizabeth, and Durban.
 E1902944 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: N2 national route | Statement: [Kaaimans River, crossedBy, N2 national route]
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: N2 national route
Triple: [Kaaimans River, crossedBy, N2 national route]
Generated description
The N2 national route is a major South African highway running along the coast and connecting key cities such as Cape Town, Port Elizabeth, and Durban.

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_69f2247ba20c81909d34f2bfed706e1e completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67f3f6930819088f6bb2c24573ebb completed May 2, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2758648f3481909f2dff4a258bcf73 completed June 9, 2026, 12:03 a.m.
NEDg Description generation batch_6a275ad414b081909ea3fd739d51cdb9 completed June 9, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_6a275b67290c8190bb71f367c87d8e09 completed June 9, 2026, 12:16 a.m.
Created at: April 29, 2026, 7:25 p.m.