Triple

T16016521
Position Surface form Disambiguated ID Type / Status
Subject Maghull railway station E388479 entity
Predicate stationCode P1289 FINISHED
Object MAG
MAG is the National Rail station code for Maghull railway station in Merseyside, England.
 E1190289 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: MAG | Statement: [Maghull railway station, stationCode, MAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAG
Context triple: [Maghull railway station, stationCode, MAG]
  • A. MAG
    MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
  • B. MAG
    MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
  • C. MAG
    MAG is the Multistakeholder Advisory Group that supports and advises the United Nations-convened Internet Governance Forum on its program and agenda.
  • D. MAG
    MAG is an international humanitarian organization that works to clear landmines and unexploded ordnance and make land safe for communities affected by conflict.
  • E. MAG
    MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
  • 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: MAG
Triple: [Maghull railway station, stationCode, MAG]
Generated description
MAG is the National Rail station code for Maghull railway station in Merseyside, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAG
Target entity description: MAG is the National Rail station code for Maghull railway station in Merseyside, England.
  • A. MAG
    MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
  • B. MAG
    MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
  • C. MAG
    MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
  • D. MAG
    MAG is an international humanitarian organization that works to clear landmines and unexploded ordnance and make land safe for communities affected by conflict.
  • E. MAG
    MAG is the magnetometer instrument aboard the European Space Agency’s Venus Express spacecraft, designed to measure Venus’s magnetic field and its interaction with the solar wind.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffcfb02b208190b961b525a29b02a5 completed May 10, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69ffd8e7b94c819093bc23288900df33 completed May 10, 2026, 1:01 a.m.
Created at: April 10, 2026, 4:55 a.m.