Triple

T856725
Position Surface form Disambiguated ID Type / Status
Subject Leuchars (for St Andrews) railway station E18508 entity
Predicate stationCode P1289 FINISHED
Object LEU
LEU is the National Rail station code for Leuchars (for St Andrews) railway station in Fife, Scotland.
 E101075 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: LEU | Statement: [Leuchars (for St Andrews) railway station, stationCode, LEU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEU
Context triple: [Leuchars (for St Andrews) railway station, stationCode, LEU]
  • A. LERU
    LERU is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education in Europe.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LEP
    LEP (Large Electron–Positron Collider) was a major circular particle accelerator at CERN used to study electroweak interactions and precisely measure properties of particles like the Z boson.
  • D. LEI
    LEI is the commonly used abbreviation for Leiden University, one of the oldest and most prestigious universities in the Netherlands.
  • E. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • 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: LEU
Triple: [Leuchars (for St Andrews) railway station, stationCode, LEU]
Generated description
LEU is the National Rail station code for Leuchars (for St Andrews) railway station in Fife, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEU
Target entity description: LEU is the National Rail station code for Leuchars (for St Andrews) railway station in Fife, Scotland.
  • A. LERU
    LERU is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education in Europe.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LEP
    LEP (Large Electron–Positron Collider) was a major circular particle accelerator at CERN used to study electroweak interactions and precisely measure properties of particles like the Z boson.
  • D. LEI
    LEI is the commonly used abbreviation for Leiden University, one of the oldest and most prestigious universities in the Netherlands.
  • E. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4d47508190b48d944aa2d881bf completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bfcf308190b1ffc63ccd32cc66 completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a4416144819099d6388fac05f475 completed March 4, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7a4b346b88190a264742a3f6ab2d1 completed March 4, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:39 p.m.