Triple

T30969045
Position Surface form Disambiguated ID Type / Status
Subject Al Zabirah–Ras Al Khair bauxite line E789039 entity
Predicate isPartOf P10 FINISHED
Object North–South Railway network
The North–South Railway network is a major Saudi Arabian rail system designed primarily to transport minerals and freight across the country, linking key mining regions with industrial and port facilities.
E1940749 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: North–South Railway network | Statement: [Al Zabirah–Ras Al Khair bauxite line, isPartOf, North–South Railway network]
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: North–South Railway network
Triple: [Al Zabirah–Ras Al Khair bauxite line, isPartOf, North–South Railway network]
Generated description
The North–South Railway network is a major Saudi Arabian rail system designed primarily to transport minerals and freight across the country, linking key mining regions with industrial and port facilities.

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_69f224c3a6b48190951add9b7b7f0271 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f693877bb48190af654a90e0249e0c completed May 3, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fbba1cb0819092a888ff69189861 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28ff96043881909e9b7be855a5300b completed June 10, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_6a2900375bc8819082ba6533429fc33c completed June 10, 2026, 6:12 a.m.
Created at: April 29, 2026, 8:54 p.m.