Triple

T7335813
Position Surface form Disambiguated ID Type / Status
Subject Downers Grove Main Street station E169123 entity
Predicate hasStationCode P1289 FINISHED
Object DGMT
DGMT is the station code for Downers Grove Main Street, a Metra commuter rail station in Downers Grove, Illinois.
 E657838 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: DGMT | Statement: [Downers Grove Main Street station, hasStationCode, DGMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DGMT
Context triple: [Downers Grove Main Street station, hasStationCode, DGMT]
  • A. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • B. DGC
    DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
  • C. GMD
    GMD is a U.S. missile defense system designed to detect, track, and intercept long-range ballistic missiles during their midcourse phase in space.
  • D. DGMIC
    DGMIC is a French government directorate responsible for overseeing media, cultural industries, and related public policies.
  • E. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • 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: DGMT
Triple: [Downers Grove Main Street station, hasStationCode, DGMT]
Generated description
DGMT is the station code for Downers Grove Main Street, a Metra commuter rail station in Downers Grove, Illinois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DGMT
Target entity description: DGMT is the station code for Downers Grove Main Street, a Metra commuter rail station in Downers Grove, Illinois.
  • A. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • B. DGC
    DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
  • C. GMD
    GMD is a U.S. missile defense system designed to detect, track, and intercept long-range ballistic missiles during their midcourse phase in space.
  • D. DGMIC
    DGMIC is a French government directorate responsible for overseeing media, cultural industries, and related public policies.
  • E. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c38d6c81908a57ef1eea0e4951 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef22d6ac819087f05d6e6787509a completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7f58ddcf88190bfc15f673083c009 completed March 28, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69c7f615d6d48190933ac515874299b9 completed March 28, 2026, 3:39 p.m.
Created at: March 27, 2026, 3:04 p.m.