Triple

T25180239
Position Surface form Disambiguated ID Type / Status
Subject Luton–Rainham route E630562 entity
Predicate passesThrough P225 FINISHED
Object Thameslink core central section
The Thameslink core central section is the busy central London rail corridor used by Thameslink services to connect northern and southern suburban and regional routes through the city.
 E1677833 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: Thameslink core central section | Statement: [Luton–Rainham route, passesThrough, Thameslink core central section]
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: Thameslink core central section
Triple: [Luton–Rainham route, passesThrough, Thameslink core central section]
Generated description
The Thameslink core central section is the busy central London rail corridor used by Thameslink services to connect northern and southern suburban and regional routes through the city.

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_69e75a88fdf081908e47ae6e195c14e1 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46dc4c3308190b9cb0ff4cbdc08d5 completed May 1, 2026, 9:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075c5b7cc8190b2c9c6fea539fd28 completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1079a631c88190b31f8fff309f9c00 completed May 22, 2026, 3:43 p.m.
NED2 Entity disambiguation (via description) batch_6a107a64b13081908a7364097a65067a completed May 22, 2026, 3:46 p.m.
Created at: April 21, 2026, 12:35 p.m.