Triple
T797690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (CTA) |
E17058
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Austin station
Austin station is a Chicago Transit Authority rapid transit stop on the Green Line located in the Austin neighborhood on the city's West Side.
|
E96404
|
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: Austin station | Statement: [Green Line (CTA), servesStation, Austin station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austin station Context triple: [Green Line (CTA), servesStation, Austin station]
-
A.
Southeast station
Southeast station is a Metro-North Railroad commuter rail stop in the town of Southeast, New York, serving the Harlem Line.
-
B.
Logan station
Logan station is an underground rapid transit stop in Philadelphia, Pennsylvania, serving the Logan neighborhood on SEPTA’s Broad Street Line.
-
C.
Washington station
Washington station is a major rapid transit stop on Chicago's downtown Loop, serving as a key hub in the city's 'L' train system.
-
D.
Oregon station
Oregon station is a subway stop on Philadelphia's SEPTA Broad Street Line serving the South Philadelphia neighborhood near Oregon Avenue.
-
E.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
- 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: Austin station Triple: [Green Line (CTA), servesStation, Austin station]
Generated description
Austin station is a Chicago Transit Authority rapid transit stop on the Green Line located in the Austin neighborhood on the city's West Side.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Austin station Target entity description: Austin station is a Chicago Transit Authority rapid transit stop on the Green Line located in the Austin neighborhood on the city's West Side.
-
A.
Southeast station
Southeast station is a Metro-North Railroad commuter rail stop in the town of Southeast, New York, serving the Harlem Line.
-
B.
Logan station
Logan station is an underground rapid transit stop in Philadelphia, Pennsylvania, serving the Logan neighborhood on SEPTA’s Broad Street Line.
-
C.
Washington station
Washington station is a major rapid transit stop on Chicago's downtown Loop, serving as a key hub in the city's 'L' train system.
-
D.
Oregon station
Oregon station is a subway stop on Philadelphia's SEPTA Broad Street Line serving the South Philadelphia neighborhood near Oregon Avenue.
-
E.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b342888190a344fe81a2c9f33c |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d7fba6c819097d8e2d962d0241f |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a783814b188190b449cd191667f1a1 |
completed | March 4, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7840593988190b6882b456f0eea41 |
completed | March 4, 2026, 12:59 a.m. |
Created at: March 1, 2026, 7:38 p.m.