Triple
T3543589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Blue Line |
E74942
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Kedzie–Homan
Kedzie–Homan is a Chicago Transit Authority rapid transit station on the West Side serving the Blue Line’s Congress Branch.
|
E367329
|
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: Kedzie–Homan | Statement: [CTA Blue Line, hasStation, Kedzie–Homan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kedzie–Homan Context triple: [CTA Blue Line, hasStation, Kedzie–Homan]
-
A.
Zakheim
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
B.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
C.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
D.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
E.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
- 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: Kedzie–Homan Triple: [CTA Blue Line, hasStation, Kedzie–Homan]
Generated description
Kedzie–Homan is a Chicago Transit Authority rapid transit station on the West Side serving the Blue Line’s Congress Branch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kedzie–Homan Target entity description: Kedzie–Homan is a Chicago Transit Authority rapid transit station on the West Side serving the Blue Line’s Congress Branch.
-
A.
Zakheim
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
B.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
C.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
D.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
E.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
- 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.