Triple

T28448474
Position Surface form Disambiguated ID Type / Status
Subject Scunthorpe railway station E715908 entity
Predicate onLine P1293 FINISHED
Object South TransPennine route
The South TransPennine route is a key regional rail corridor in northern England that provides cross-country passenger services linking major towns and cities across the Pennines.
 E1819097 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: South TransPennine route | Statement: [Scunthorpe railway station, onLine, South TransPennine 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: South TransPennine route
Triple: [Scunthorpe railway station, onLine, South TransPennine route]
Generated description
The South TransPennine route is a key regional rail corridor in northern England that provides cross-country passenger services linking major towns and cities across the Pennines.

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_69efd6b44550819094ae991b553d9fc3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64e7019108190bb173f2168586ade completed May 2, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a164187e13c8190a3b6fd3629d4302e completed May 27, 2026, 12:57 a.m.
NEDg Description generation batch_6a1642da98e88190a33b157a8eb246bd completed May 27, 2026, 1:03 a.m.
NED2 Entity disambiguation (via description) batch_6a16437ea28c8190a8f92a3f07d4e6d2 completed May 27, 2026, 1:06 a.m.
Created at: April 28, 2026, 1:50 a.m.