Triple

T14945565
Position Surface form Disambiguated ID Type / Status
Subject Mallaig railway station E372646 entity
Predicate railCode P18202 FINISHED
Object MLG
MLG is the three-letter National Rail station code assigned to Mallaig railway station in Scotland.
 E1128121 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: MLG | Statement: [Mallaig railway station, railCode, MLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MLG
Context triple: [Mallaig railway station, railCode, MLG]
  • A. MLG
    MLG is the IATA airport code for Abdul Rachman Saleh Airport serving the Malang area in East Java, Indonesia.
  • B. MLG
    MLG is a Marine Logistics Group, a major U.S. Marine Corps unit responsible for providing comprehensive combat service support and logistics to Marine Air-Ground Task Forces.
  • C. MLN
    MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
  • D. 3d MLG
    3d MLG is a United States Marine Corps logistics unit that provides comprehensive combat service support to Marine Air-Ground Task Forces, primarily in the Indo-Pacific region.
  • E. MLY
    MLY is the National Rail station code for Morley railway station in West Yorkshire, England.
  • 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: MLG
Triple: [Mallaig railway station, railCode, MLG]
Generated description
MLG is the three-letter National Rail station code assigned to Mallaig railway station in Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MLG
Target entity description: MLG is the three-letter National Rail station code assigned to Mallaig railway station in Scotland.
  • A. MLG
    MLG is the IATA airport code for Abdul Rachman Saleh Airport serving the Malang area in East Java, Indonesia.
  • B. MLG
    MLG is a Marine Logistics Group, a major U.S. Marine Corps unit responsible for providing comprehensive combat service support and logistics to Marine Air-Ground Task Forces.
  • C. MLN
    MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
  • D. 3d MLG
    3d MLG is a United States Marine Corps logistics unit that provides comprehensive combat service support to Marine Air-Ground Task Forces, primarily in the Indo-Pacific region.
  • E. MLY
    MLY is the National Rail station code for Morley railway station in West Yorkshire, England.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e963c548190b3a06ffbbb3298b2 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe807eaa208190a478f0d0599ef695 completed May 9, 2026, 12:31 a.m.
NED2 Entity disambiguation (via description) batch_69fe811c14448190b85d94244adcd662 completed May 9, 2026, 12:34 a.m.
Created at: April 10, 2026, 2:39 a.m.