Triple

T32210228
Position Surface form Disambiguated ID Type / Status
Subject Four Oaks railway station E822778 entity
Predicate serves P98 FINISHED
Object Four Oaks area of Sutton Coldfield
The Four Oaks area of Sutton Coldfield is a suburban residential district in Birmingham, England, known for its affluent neighborhoods, green spaces, and convenient rail links to the city centre.
E693560 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: Four Oaks area of Sutton Coldfield | Statement: [Four Oaks railway station, serves, Four Oaks area of Sutton Coldfield]
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: Four Oaks area of Sutton Coldfield
Triple: [Four Oaks railway station, serves, Four Oaks area of Sutton Coldfield]
Generated description
The Four Oaks area of Sutton Coldfield is a suburban residential district in Birmingham, England, known for its affluent neighborhoods, green spaces, and convenient rail links to the city centre.

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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb91c24481908bec766e2ed19345 completed May 3, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b990ee48190a5bf39cf0137f223 completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3c4f7ff88190b331c2a90cfd7aea completed June 14, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a2f4158e32c8190bac1224cb21b0247 completed June 15, 2026, 12:03 a.m.
Created at: May 1, 2026, 12:37 a.m.