Triple

T23117245
Position Surface form Disambiguated ID Type / Status
Subject Langley Mill railway station E576789 entity
Predicate stationCode P1289 FINISHED
Object LGM
LGM is the National Rail station code for Langley Mill railway station in Derbyshire, England.
 E1570763 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: LGM | Statement: [Langley Mill railway station, stationCode, LGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LGM
Context triple: [Langley Mill railway station, stationCode, LGM]
  • A. LGMK
    LGMK is the ICAO airport code for Mykonos Island National Airport, which serves the popular Greek island of Mykonos.
  • B. Gelo
    Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
  • C. Lama glama
    Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
  • D. Lomavren
    Lomavren is a mixed Romani-Armenian language traditionally spoken by the Lom people of the Caucasus region.
  • E. Lazgi
    Lazgi is a vibrant and expressive traditional Uzbek dance known for its rapid hand movements, lively rhythms, and roots in the cultural heritage of the Khorezm region.
  • 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: LGM
Triple: [Langley Mill railway station, stationCode, LGM]
Generated description
LGM is the National Rail station code for Langley Mill railway station in Derbyshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LGM
Target entity description: LGM is the National Rail station code for Langley Mill railway station in Derbyshire, England.
  • A. LGMK
    LGMK is the ICAO airport code for Mykonos Island National Airport, which serves the popular Greek island of Mykonos.
  • B. Gelo
    Gelo is a film featuring Spanish actress Ivana Baquero in a prominent role.
  • C. Lama glama
    Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
  • D. Lomavren
    Lomavren is a mixed Romani-Armenian language traditionally spoken by the Lom people of the Caucasus region.
  • E. Lazgi
    Lazgi is a vibrant and expressive traditional Uzbek dance known for its rapid hand movements, lively rhythms, and roots in the cultural heritage of the Khorezm region.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e4d095081908bad99fab6eaadd0 completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23ee9e3481909c5dd97ef5424396 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.