Triple

T21800327
Position Surface form Disambiguated ID Type / Status
Subject Argyle Street railway station E538219 entity
Predicate hasStationCode P1289 FINISHED
Object AGS
AGS is the National Rail station code for Argyle Street railway station in Glasgow, Scotland.
 E1502010 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: AGS | Statement: [Argyle Street railway station, hasStationCode, AGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AGS
Context triple: [Argyle Street railway station, hasStationCode, AGS]
  • A. AGS
    AGS is a professional organization in the United States dedicated to improving the health, independence, and quality of life of older adults through geriatrics research, education, and clinical care.
  • B. AGS
    AGS (Alternating Gradient Synchrotron) is a high-energy particle accelerator at Brookhaven National Laboratory used for pioneering research in nuclear and particle physics.
  • C. AGS
    AGS is the three-letter IATA airport code for Augusta Regional Airport, a public airport serving Augusta, Georgia, in the United States.
  • D. AGS
    AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
  • E. AGG
    AGG is a high-quality, open-source 2D graphics rendering library known for its precision and anti-aliasing capabilities.
  • 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: AGS
Triple: [Argyle Street railway station, hasStationCode, AGS]
Generated description
AGS is the National Rail station code for Argyle Street railway station in Glasgow, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AGS
Target entity description: AGS is the National Rail station code for Argyle Street railway station in Glasgow, Scotland.
  • A. AGS
    AGS is the three-letter IATA airport code for Augusta Regional Airport, a public airport serving Augusta, Georgia, in the United States.
  • B. AGS
    AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
  • C. AGS
    AGS is a professional organization in the United States dedicated to improving the health, independence, and quality of life of older adults through geriatrics research, education, and clinical care.
  • D. AGS
    AGS (Alternating Gradient Synchrotron) is a high-energy particle accelerator at Brookhaven National Laboratory used for pioneering research in nuclear and particle physics.
  • E. AGG
    AGG is a high-quality, open-source 2D graphics rendering library known for its precision and anti-aliasing capabilities.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f077fede848190b8fe07941d6573d9 completed April 28, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e827ad88190869f3c4797c80891 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f4358d48190a88208a55d19a9ef completed May 17, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a404206e0819080c640619cd277ab completed May 17, 2026, 10:25 p.m.
Created at: April 16, 2026, 6:53 p.m.