Triple

T20295102
Position Surface form Disambiguated ID Type / Status
Subject Wells railway station (former) E505325 entity
Predicate served P17148 FINISHED
Object city of Wells
The city of Wells is a historic cathedral city in Somerset, England, renowned for its medieval architecture and status as England’s smallest city.
 E1422464 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: city of Wells | Statement: [Wells railway station (former), served, city of Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: city of Wells
Context triple: [Wells railway station (former), served, city of Wells]
  • A. Wells
    Wells is a common English surname borne by numerous notable individuals across literature, politics, science, and the arts.
  • B. Wells
    Wells is a small city in northeastern Nevada known as a historic railroad and travel junction near the intersection of Interstate 80 and U.S. Route 93.
  • C. Wells
    Wells is the former name of the community now known as Keene in Kern County, California.
  • D. Wells
    Wells is a small historic mining town in central British Columbia, Canada, known as a gateway to the Barkerville gold rush area and nearby outdoor recreation.
  • E. Wells
    Wells is a small town in southwestern Vermont known for its rural character and proximity to Lake St. Catherine.
  • 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: city of Wells
Triple: [Wells railway station (former), served, city of Wells]
Generated description
The city of Wells is a historic cathedral city in Somerset, England, renowned for its medieval architecture and status as England’s smallest city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: city of Wells
Target entity description: The city of Wells is a historic cathedral city in Somerset, England, renowned for its medieval architecture and status as England’s smallest city.
  • A. Wells
    Wells is a small city in northeastern Nevada known as a historic railroad and travel junction near the intersection of Interstate 80 and U.S. Route 93.
  • B. Wells
    Wells is a small town in southwestern Vermont known for its rural character and proximity to Lake St. Catherine.
  • C. Wells
    Wells is a common English surname borne by numerous notable individuals across literature, politics, science, and the arts.
  • D. Wells
    Wells is the former name of the community now known as Keene in Kern County, California.
  • E. Wells
    Wells is a small historic mining town in central British Columbia, Canada, known as a gateway to the Barkerville gold rush area and nearby outdoor recreation.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a32754c8190a5370068e15e907b completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ac5b5f4819083c4d12e9cabc758 completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085bc0781c81909fc53a83291badc0 completed May 16, 2026, 11:57 a.m.
Created at: April 16, 2026, 11:15 a.m.