Triple

T26039817
Position Surface form Disambiguated ID Type / Status
Subject Malahide railway station E647654 entity
Predicate terminusOf P3375 FINISHED
Object Northern Commuter services
Northern Commuter services are suburban rail services in the Dublin area that operate along the northern rail corridor, connecting central Dublin with coastal and commuter towns to the north.
 E1709068 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: Northern Commuter services | Statement: [Malahide railway station, terminusOf, Northern Commuter services]
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: Northern Commuter services
Triple: [Malahide railway station, terminusOf, Northern Commuter services]
Generated description
Northern Commuter services are suburban rail services in the Dublin area that operate along the northern rail corridor, connecting central Dublin with coastal and commuter towns to the north.

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_69e77e8c88f08190858c4c81bd2e1b9a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f60621f3a88190abbe89d50e06422c completed May 2, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b17b6e4819091e02d58baa659d0 completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111c26bd588190bcb5b6acd9978f06 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111cfb960c8190ab95d50846acfb91 completed May 23, 2026, 3:20 a.m.
Created at: April 22, 2026, 9:08 a.m.