Triple

T34173199
Position Surface form Disambiguated ID Type / Status
Subject York–Market Weighton line E876596 entity
Predicate hasEndpoint P390 FINISHED
Object Market Weighton railway facilities
Market Weighton railway facilities were the former railway station and associated infrastructure serving the town of Market Weighton in the East Riding of Yorkshire, England.
E2084386 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: Market Weighton railway facilities | Statement: [York–Market Weighton line, hasEndpoint, Market Weighton railway facilities]
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: Market Weighton railway facilities
Triple: [York–Market Weighton line, hasEndpoint, Market Weighton railway facilities]
Generated description
Market Weighton railway facilities were the former railway station and associated infrastructure serving the town of Market Weighton in the East Riding of Yorkshire, England.

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_69f349ad97ac8190bf1f17417c970e64 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70fe65ff88190885d58d51c200108 completed May 3, 2026, 9:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1dab5a4819096d1acd7f9b1e3f0 completed June 20, 2026, 4:37 p.m.
NEDg Description generation batch_6a36c265a4588190b415159def7d4690 completed June 20, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a36c4cc187081908cd56a998ab5c90d completed June 20, 2026, 4:50 p.m.
Created at: May 1, 2026, 1:54 a.m.