Triple

T11252602
Position Surface form Disambiguated ID Type / Status
Subject Lostwithiel railway station E266354 entity
Predicate hasStationCode P1289 FINISHED
Object LOS
LOS is the National Rail station code for Lostwithiel railway station in Cornwall, England.
 E914434 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: LOS | Statement: [Lostwithiel railway station, hasStationCode, LOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LOS
Context triple: [Lostwithiel railway station, hasStationCode, LOS]
  • A. LOS
    LOS is the IATA airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • B. LOS
    LOS is the vehicle registration code for the Oder-Spree district in the German state of Brandenburg.
  • C. LO
    LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
  • D. LO
    LO is the IATA airline designator used for LOT Polish Airlines, the flag carrier of Poland.
  • E. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • 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: LOS
Triple: [Lostwithiel railway station, hasStationCode, LOS]
Generated description
LOS is the National Rail station code for Lostwithiel railway station in Cornwall, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LOS
Target entity description: LOS is the National Rail station code for Lostwithiel railway station in Cornwall, England.
  • A. LOS
    LOS is the IATA airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • B. LOS
    LOS is the vehicle registration code for the Oder-Spree district in the German state of Brandenburg.
  • C. LO
    LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
  • D. LO
    LO is the IATA airline designator used for LOT Polish Airlines, the flag carrier of Poland.
  • E. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc8599588190b510cf888ec42e34 completed April 19, 2026, 12:37 p.m.
NEDg Description generation batch_69e4d9eb79608190b7ed108906f4e2bf completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4df50eebc8190a4fe0aba7dc9fa62 completed April 19, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:31 p.m.