Triple
T3543583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Blue Line |
E74942
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
LaSalle
LaSalle is a Chicago Transit Authority Blue Line rapid transit station located in downtown Chicago.
|
E367326
|
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: LaSalle | Statement: [CTA Blue Line, hasStation, LaSalle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaSalle Context triple: [CTA Blue Line, hasStation, LaSalle]
-
A.
LaSalle
LaSalle is a residential borough of Montreal, Quebec, known for its riverside parks along the St. Lawrence River and its diverse, largely suburban community.
-
B.
LaSalle/Van Buren
LaSalle/Van Buren is a Chicago 'L' station in the Loop that serves as one of the downtown stops on the CTA's Pink Line.
-
C.
Newmark
Newmark is a prominent commercial real estate services firm known for brokerage, property management, and advisory work on landmark buildings and major properties.
-
D.
Deephaven
Deephaven is a small suburban city in Minnesota known for its residential character and proximity to Lake Minnetonka.
-
E.
Shawmut
Shawmut is a neighborhood rapid transit station on Boston's MBTA Red Line, located in the Dorchester area.
- 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: LaSalle Triple: [CTA Blue Line, hasStation, LaSalle]
Generated description
LaSalle is a Chicago Transit Authority Blue Line rapid transit station located in downtown Chicago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LaSalle Target entity description: LaSalle is a Chicago Transit Authority Blue Line rapid transit station located in downtown Chicago.
-
A.
LaSalle
LaSalle is a residential borough of Montreal, Quebec, known for its riverside parks along the St. Lawrence River and its diverse, largely suburban community.
-
B.
LaSalle/Van Buren
LaSalle/Van Buren is a Chicago 'L' station in the Loop that serves as one of the downtown stops on the CTA's Pink Line.
-
C.
Newmark
Newmark is a prominent commercial real estate services firm known for brokerage, property management, and advisory work on landmark buildings and major properties.
-
D.
Deephaven
Deephaven is a small suburban city in Minnesota known for its residential character and proximity to Lake Minnetonka.
-
E.
Shawmut
Shawmut is a neighborhood rapid transit station on Boston's MBTA Red Line, located in the Dorchester area.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf752dd481909226044ffe595338 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bdd0cb4819086119b54c2708850 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38cb6a2188190b68f4903144a0e51 |
completed | March 13, 2026, 4:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b39062a10c8190bc227c02cf4f3ab1 |
completed | March 13, 2026, 4:19 a.m. |
Created at: March 8, 2026, 3:20 p.m.