Triple

T2881809
Position Surface form Disambiguated ID Type / Status
Subject Eglinton station E59412 entity
Predicate code P1537 FINISHED
Object EGL
EGL is the station code used to identify Eglinton station in transit systems and related services.
 E307980 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: EGL | Statement: [Eglinton station, code, EGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EGL
Context triple: [Eglinton station, code, EGL]
  • A. EGLC
    EGLC is the ICAO airport code for London City Airport, a central London hub known for its short runway and business-focused flights.
  • B. OpenGL ES
    OpenGL ES is a cross-platform, royalty-free 2D and 3D graphics API designed for embedded systems such as mobile devices, game consoles, and automotive displays.
  • C. WGL
    WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
  • D. GLX
    GLX is the OpenGL Extension to the X Window System that enables rendering OpenGL graphics within X11-based applications.
  • E. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • 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: EGL
Triple: [Eglinton station, code, EGL]
Generated description
EGL is the station code used to identify Eglinton station in transit systems and related services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EGL
Target entity description: EGL is the station code used to identify Eglinton station in transit systems and related services.
  • A. EGLC
    EGLC is the ICAO airport code for London City Airport, a central London hub known for its short runway and business-focused flights.
  • B. OpenGL ES
    OpenGL ES is a cross-platform, royalty-free 2D and 3D graphics API designed for embedded systems such as mobile devices, game consoles, and automotive displays.
  • C. WGL
    WGL is the common abbreviation for the Leibniz Association, a major German network of non-university research institutes spanning a wide range of scientific disciplines.
  • D. GLX
    GLX is the OpenGL Extension to the X Window System that enables rendering OpenGL graphics within X11-based applications.
  • E. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02aa5948190a2e0bd9168232bd5 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031633efc819088c2ea29eafaff0f completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b033894ca881908691b88e6108257c completed March 10, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69b03c3af7b48190b66bb32df59196e3 completed March 10, 2026, 3:43 p.m.
Created at: March 6, 2026, 10:03 p.m.