Triple

T4084381
Position Surface form Disambiguated ID Type / Status
Subject LaSalle Street Station E87553 entity
Predicate code P1537 FINISHED
Object LSS
LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
 E410147 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: LSS | Statement: [LaSalle Street Station, code, LSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LSS
Context triple: [LaSalle Street Station, code, LSS]
  • A. LS
    LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
  • B. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • C. LSA
    LSA is the vehicle registration code used on license plates for the German federal state of Saxony-Anhalt.
  • D. LSA
    LSA is the commonly used abbreviation for the University of Michigan’s College of Literature, Science, and the Arts, its largest and oldest academic unit offering a broad liberal arts education.
  • E. L&S
    L&S is the College of Letters and Science at the University of Wisconsin–Madison, the university’s largest and broadest academic division encompassing the arts, humanities, social sciences, and natural sciences.
  • 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: LSS
Triple: [LaSalle Street Station, code, LSS]
Generated description
LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LSS
Target entity description: LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • A. LS
    LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
  • B. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • C. LSA
    LSA is the vehicle registration code used on license plates for the German federal state of Saxony-Anhalt.
  • D. LSA
    LSA is the commonly used abbreviation for the University of Michigan’s College of Literature, Science, and the Arts, its largest and oldest academic unit offering a broad liberal arts education.
  • E. L&S
    L&S is the College of Letters and Science at the University of Wisconsin–Madison, the university’s largest and broadest academic division encompassing the arts, humanities, social sciences, and natural sciences.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7a4b488190ab466e2c50329ab3 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c9760c8190a9292eb1cea55ab2 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b6b9a48190a7b271fd6873e59f completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5641e09d08190bf83c9a730e1bf34 completed March 14, 2026, 1:35 p.m.
Created at: March 9, 2026, 3:39 p.m.