Triple

T1434802
Position Surface form Disambiguated ID Type / Status
Subject London Liverpool Street E30536 entity
Predicate stationCode P1289 FINISHED
Object LST
LST is the three-letter National Rail station code for London Liverpool Street, a major railway terminus in central London.
 E163492 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: LST | Statement: [London Liverpool Street, stationCode, LST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LST
Context triple: [London Liverpool Street, stationCode, LST]
  • A. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • B. Lanchester
    Lanchester is an English surname most famously associated with actress Elsa Lanchester and several notable British figures in the arts and sciences.
  • C. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • D. LS
    LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
  • E. LUSU
    LUSU is the students' union representing and supporting students at Lancaster University in the United Kingdom.
  • 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: LST
Triple: [London Liverpool Street, stationCode, LST]
Generated description
LST is the three-letter National Rail station code for London Liverpool Street, a major railway terminus in central London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LST
Target entity description: LST is the three-letter National Rail station code for London Liverpool Street, a major railway terminus in central London.
  • A. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • B. Lanchester
    Lanchester is an English surname most famously associated with actress Elsa Lanchester and several notable British figures in the arts and sciences.
  • C. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • D. LS
    LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
  • E. LUSU
    LUSU is the students' union representing and supporting students at Lancaster University in the United Kingdom.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c500a9888190a16fbb1ec97a79c9 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad017084908190a81a784ae4a53c21 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad0259651c8190890e45c1786a9a50 completed March 8, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69ad03018aa4819090020ba89a11d0cd completed March 8, 2026, 5:02 a.m.
Created at: March 1, 2026, 8 p.m.