Triple

T11552425
Position Surface form Disambiguated ID Type / Status
Subject Alvechurch railway station E273929 entity
Predicate locatedIn P40 FINISHED
Object Alvechurch
Alvechurch is a village in Worcestershire, England, known for its historic character and role as a commuter settlement near Birmingham.
 E932737 NE FINISHED

How this triple was built (4 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: Alvechurch | Statement: [Alvechurch railway station, locatedIn, Alvechurch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alvechurch
Context triple: [Alvechurch railway station, locatedIn, Alvechurch]
  • A. Southchurch
    Southchurch is a suburban area within the town of Southend-on-Sea in Essex, England, known for its residential character and local amenities.
  • B. Olching
    Olching is a Bavarian town near Munich known for its residential character, local lakes, and location along the Amper River.
  • C. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • D. Stirchley
    Stirchley is a suburban district of Birmingham, England, known for its mix of residential streets, independent shops, and light industry.
  • E. Coseley
    Coseley is a town in the West Midlands of England, situated between Wolverhampton and Dudley within the Black Country region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Alvechurch
Triple: [Alvechurch railway station, locatedIn, Alvechurch]
Generated description
Alvechurch is a village in Worcestershire, England, known for its historic character and role as a commuter settlement near Birmingham.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alvechurch
Target entity description: Alvechurch is a village in Worcestershire, England, known for its historic character and role as a commuter settlement near Birmingham.
  • A. Southchurch
    Southchurch is a suburban area within the town of Southend-on-Sea in Essex, England, known for its residential character and local amenities.
  • B. Olching
    Olching is a Bavarian town near Munich known for its residential character, local lakes, and location along the Amper River.
  • C. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • D. Stirchley
    Stirchley is a suburban district of Birmingham, England, known for its mix of residential streets, independent shops, and light industry.
  • E. Coseley
    Coseley is a town in the West Midlands of England, situated between Wolverhampton and Dudley within the Black Country region.
  • F. None of above. chosen

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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e851a6688190996580a077496833 completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.