Triple
T3597670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Pink Line |
E76177
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Kostner
Kostner is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
|
E372117
|
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: Kostner | Statement: [CTA Pink Line, hasStation, Kostner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kostner Context triple: [CTA Pink Line, hasStation, Kostner]
-
A.
Kasha Kropinski
Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
-
B.
Stana Katic
Stana Katic is a Canadian-American actress best known for her role as Detective Kate Beckett on the television series "Castle."
-
C.
Konrad Kaletsch
Konrad Kaletsch was a German industrialist who stood trial as a defendant in the post–World War II Flick war crimes proceedings at Nuremberg.
-
D.
Janica Kostelić
Janica Kostelić is a Croatian alpine skier widely regarded as one of the greatest in the sport, known especially for winning multiple gold medals at the 2002 Winter Olympics.
-
E.
Brigitte Seebacher
Brigitte Seebacher is a German historian and publicist best known for her work on political history and for being the third wife of former German chancellor Willy Brandt.
- 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: Kostner Triple: [CTA Pink Line, hasStation, Kostner]
Generated description
Kostner is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kostner Target entity description: Kostner is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
-
A.
Kasha Kropinski
Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
-
B.
Stana Katic
Stana Katic is a Canadian-American actress best known for her role as Detective Kate Beckett on the television series "Castle."
-
C.
Konrad Kaletsch
Konrad Kaletsch was a German industrialist who stood trial as a defendant in the post–World War II Flick war crimes proceedings at Nuremberg.
-
D.
Janica Kostelić
Janica Kostelić is a Croatian alpine skier widely regarded as one of the greatest in the sport, known especially for winning multiple gold medals at the 2002 Winter Olympics.
-
E.
Brigitte Seebacher
Brigitte Seebacher is a German historian and publicist best known for her work on political history and for being the third wife of former German chancellor Willy Brandt.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19c71608190a87c98214321214c |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b40316ebdc819088eb21b7087fb7e7 |
completed | March 13, 2026, 12:29 p.m. |
| NEDg | Description generation | batch_69b406f095488190b4543fa8008fe86c |
completed | March 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b408744dcc819081308b7182a40c88 |
completed | March 13, 2026, 12:52 p.m. |
Created at: March 8, 2026, 3:22 p.m.