Triple

T11193982
Position Surface form Disambiguated ID Type / Status
Subject Mirfield railway station E264873 entity
Predicate hasStationCode P1289 FINISHED
Object MIR
MIR is the National Rail station code for Mirfield railway station in West Yorkshire, England.
 E910882 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: MIR | Statement: [Mirfield railway station, hasStationCode, MIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MIR
Context triple: [Mirfield railway station, hasStationCode, MIR]
  • A. MIR
    MIR is the commonly used abbreviation for "Men in Red," typically referring to a sports team or group distinguished by their red uniforms.
  • B. MIRI
    MIRI is the Mid-Infrared Instrument on the James Webb Space Telescope, designed to capture detailed images and spectra of celestial objects in the mid-infrared range.
  • C. Mir iskusstva
    Mir iskusstva was a Russian artistic movement and magazine at the turn of the 20th century that championed aestheticism, individualism, and the revival of decorative and graphic arts.
  • D. MIK
    MIK is the stock ticker symbol for The Michaels Companies, a major North American retailer specializing in arts, crafts, framing, and home décor products.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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: MIR
Triple: [Mirfield railway station, hasStationCode, MIR]
Generated description
MIR is the National Rail station code for Mirfield railway station in West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MIR
Target entity description: MIR is the National Rail station code for Mirfield railway station in West Yorkshire, England.
  • A. MIR
    MIR is the commonly used abbreviation for "Men in Red," typically referring to a sports team or group distinguished by their red uniforms.
  • B. MIRI
    MIRI is the Mid-Infrared Instrument on the James Webb Space Telescope, designed to capture detailed images and spectra of celestial objects in the mid-infrared range.
  • C. Mir iskusstva
    Mir iskusstva was a Russian artistic movement and magazine at the turn of the 20th century that championed aestheticism, individualism, and the revival of decorative and graphic arts.
  • D. MIK
    MIK is the stock ticker symbol for The Michaels Companies, a major North American retailer specializing in arts, crafts, framing, and home décor products.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8bf14e481908563b15790af4d20 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483f8ecf4819086f0bab3ca9ddcb4 completed April 19, 2026, 7:27 a.m.
NEDg Description generation batch_69e4878971cc8190aaa1fe32b32925a8 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890e8ab881909c85593067041994 completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.