Triple
T12045918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTfastrak |
E286786
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Sigourney Street Station
Sigourney Street Station is a bus rapid transit stop on the CTfastrak line serving passengers in Hartford, Connecticut.
|
E961918
|
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: Sigourney Street Station | Statement: [CTfastrak, hasStation, Sigourney Street Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigourney Street Station Context triple: [CTfastrak, hasStation, Sigourney Street Station]
-
A.
Christie station
Christie station is a subway station on Toronto's Bloor–Danforth line serving the Christie Street and Bloor Street West area.
-
B.
Othello Station
Othello Station is a light rail transit stop in Seattle’s Rainier Valley neighborhood, serving the Link light rail system.
-
C.
Central Station
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
D.
Central Station
Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
-
E.
Central Station
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
- 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: Sigourney Street Station Triple: [CTfastrak, hasStation, Sigourney Street Station]
Generated description
Sigourney Street Station is a bus rapid transit stop on the CTfastrak line serving passengers in Hartford, Connecticut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sigourney Street Station Target entity description: Sigourney Street Station is a bus rapid transit stop on the CTfastrak line serving passengers in Hartford, Connecticut.
-
A.
Christie station
Christie station is a subway station on Toronto's Bloor–Danforth line serving the Christie Street and Bloor Street West area.
-
B.
Othello Station
Othello Station is a light rail transit stop in Seattle’s Rainier Valley neighborhood, serving the Link light rail system.
-
C.
Central Station
Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
-
D.
Central Station
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
E.
Central Station
Central Station was the original name of Lisbon’s historic Rossio railway station, a key 19th-century rail hub known for its distinctive Neo-Manueline architecture.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9041fe3b0819094b82a6b17ac59c3 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49db574bc8190a0f2f858a2ff788d |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.