Triple

T19923441
Position Surface form Disambiguated ID Type / Status
Subject Albrighton railway station E478858 entity
Predicate stationCode P1289 FINISHED
Object ALB
ALB is the National Rail station code for Albrighton railway station in Shropshire, England.
 E1402172 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: ALB | Statement: [Albrighton railway station, stationCode, ALB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALB
Context triple: [Albrighton railway station, stationCode, ALB]
  • A. ALB
    ALB is the IATA airport code for Albany International Airport serving New York’s capital region.
  • B. ALB
    ALB is the three-letter country code used by the International Olympic Committee to represent Albania in the Olympic Games.
  • C. Albu
    Albu is a small rural settlement located in Järva County in central Estonia.
  • D. Alberg
    Alberg is a surname most notably associated with Tom Alberg, an American lawyer, venture capitalist, and early Amazon investor.
  • E. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • 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: ALB
Triple: [Albrighton railway station, stationCode, ALB]
Generated description
ALB is the National Rail station code for Albrighton railway station in Shropshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALB
Target entity description: ALB is the National Rail station code for Albrighton railway station in Shropshire, England.
  • A. ALB
    ALB is the IATA airport code for Albany International Airport serving New York’s capital region.
  • B. ALB
    ALB is the three-letter country code used by the International Olympic Committee to represent Albania in the Olympic Games.
  • C. Albu
    Albu is a small rural settlement located in Järva County in central Estonia.
  • D. Alberg
    Alberg is a surname most notably associated with Tom Alberg, an American lawyer, venture capitalist, and early Amazon investor.
  • E. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c7be948190a65a1c78ba68dff3 completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea56ae608190815a66c89dadcb9e completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07f2bc1474819092902f88b3309e0d completed May 16, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a07f376f5388190989a0460528945df completed May 16, 2026, 4:32 a.m.
Created at: April 10, 2026, 1:53 p.m.