Triple
T14995113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland RTA Red Line |
E373937
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Superior station
Superior station is a public transit stop on Cleveland's RTA Red Line serving passengers in the Cleveland, Ohio area.
|
E1131186
|
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: Superior station | Statement: [Cleveland RTA Red Line, hasStation, Superior station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Superior station Context triple: [Cleveland RTA Red Line, hasStation, Superior station]
-
A.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
-
B.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Seymour station
Seymour station is a small commuter rail stop in Seymour, Connecticut, served by Metro-North Railroad’s Waterbury Branch.
-
D.
Larkspur station
Larkspur station is a commuter rail stop in Larkspur, California, serving as the northern terminus of the Sonoma–Marin Area Rail Transit (SMART) line and providing access to nearby ferry connections to San Francisco.
-
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: Superior station Triple: [Cleveland RTA Red Line, hasStation, Superior station]
Generated description
Superior station is a public transit stop on Cleveland's RTA Red Line serving passengers in the Cleveland, Ohio area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Superior station Target entity description: Superior station is a public transit stop on Cleveland's RTA Red Line serving passengers in the Cleveland, Ohio area.
-
A.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
-
B.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Seymour station
Seymour station is a small commuter rail stop in Seymour, Connecticut, served by Metro-North Railroad’s Waterbury Branch.
-
D.
Larkspur station
Larkspur station is a commuter rail stop in Larkspur, California, serving as the northern terminus of the Sonoma–Marin Area Rail Transit (SMART) line and providing access to nearby ferry connections to San Francisco.
-
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969a63f081908bf11783e2a51229 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97609b3481908ed481f9f061b148 |
completed | May 9, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe980155748190aef4ce876f985ef2 |
completed | May 9, 2026, 2:12 a.m. |
Created at: April 10, 2026, 2:53 a.m.