Triple

T19898111
Position Surface form Disambiguated ID Type / Status
Subject Leytonstone Underground station E478204 entity
Predicate stationCode P1289 FINISHED
Object LEY
LEY is the three-letter station code for Leytonstone Underground station on the London Underground network.
 E1401664 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: LEY | Statement: [Leytonstone Underground station, stationCode, LEY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEY
Context triple: [Leytonstone Underground station, stationCode, LEY]
  • A. LEY
    LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
  • B. Ley
    Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
  • C. Legge
    Legge is a surname most notably associated with Dorothy Haskell Porcher Legge, the Charleston preservationist credited with creating the iconic Rainbow Row of pastel-colored houses.
  • D. Lawgi
    Lawgi is a small rural locality within Queensland’s Banana Shire, known for its agricultural landscape and sparse population.
  • E. lei
    The leu (plural: lei) is the official currency of Romania, used for everyday transactions and financial operations throughout the country.
  • 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: LEY
Triple: [Leytonstone Underground station, stationCode, LEY]
Generated description
LEY is the three-letter station code for Leytonstone Underground station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEY
Target entity description: LEY is the three-letter station code for Leytonstone Underground station on the London Underground network.
  • A. LEY
    LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
  • B. Ley
    Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
  • C. Legge
    Legge is a surname most notably associated with Dorothy Haskell Porcher Legge, the Charleston preservationist credited with creating the iconic Rainbow Row of pastel-colored houses.
  • D. Lawgi
    Lawgi is a small rural locality within Queensland’s Banana Shire, known for its agricultural landscape and sparse population.
  • E. lei
    The leu (plural: lei) is the official currency of Romania, used for everyday transactions and financial operations throughout the country.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593ef8dc8190be5b64988eceafac completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea4027c081909f3e67f3f5dda46a completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ebef0a088190996451d7c0fdb013 completed May 16, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_6a07ecb5ec708190bc79a1be73f746d9 completed May 16, 2026, 4:04 a.m.
Created at: April 10, 2026, 1:52 p.m.