Triple

T34796874
Position Surface form Disambiguated ID Type / Status
Subject Leicester and Swannington Railway E1003113 entity
Predicate regionServed P82 FINISHED
Object Leicestershire coalfield
The Leicestershire coalfield is a historic coal-mining region in Leicestershire, England, whose pits and collieries played a key role in fueling local industry and the early railway network.
E2112652 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: Leicestershire coalfield | Statement: [Leicester and Swannington Railway, regionServed, Leicestershire coalfield]
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: Leicestershire coalfield
Triple: [Leicester and Swannington Railway, regionServed, Leicestershire coalfield]
Generated description
The Leicestershire coalfield is a historic coal-mining region in Leicestershire, England, whose pits and collieries played a key role in fueling local industry and the early railway network.

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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a86050881909fa363fe6984f79f completed May 3, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fa822e8819099400198c9b6d5a5 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37703823ac81908261228f65fcfa4b completed June 21, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a377178c0b88190b9182e381ed323da completed June 21, 2026, 5:07 a.m.
Created at: May 3, 2026, 3:59 p.m.