Triple

T37351248
Position Surface form Disambiguated ID Type / Status
Subject Coseley railway station E927327 entity
Predicate replaced P101 FINISHED
Object Deepfields and Coseley railway station
Deepfields and Coseley railway station was a former railway station in the West Midlands, England, that historically served the Deepfields and Coseley areas before its closure and replacement.
E927327 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: Deepfields and Coseley railway station | Statement: [Coseley railway station, replaced, Deepfields and Coseley railway station]
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: Deepfields and Coseley railway station
Triple: [Coseley railway station, replaced, Deepfields and Coseley railway station]
Generated description
Deepfields and Coseley railway station was a former railway station in the West Midlands, England, that historically served the Deepfields and Coseley areas before its closure and replacement.

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_69f76eb5e034819088e53ab5b7909a68 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5bc124fc81909cc9146f9ebd53f4 completed May 6, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406cdeec0481908449b31e56c88df8 completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406da07e6c81909bcf8a7cce086fcf completed June 28, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a406e2e5e00819097b90719f08951c8 completed June 28, 2026, 12:43 a.m.
Created at: May 3, 2026, 4:16 p.m.