Triple
T12045916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTfastrak |
E286786
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Elmwood Station
Elmwood Station is a bus rapid transit stop on Connecticut's CTfastrak corridor serving the Elmwood neighborhood of West Hartford.
|
E961555
|
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: Elmwood Station | Statement: [CTfastrak, hasStation, Elmwood Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmwood Station Context triple: [CTfastrak, hasStation, Elmwood Station]
-
A.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
B.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
C.
Greenlawn station
Greenlawn station is a Long Island Rail Road commuter rail stop in Greenlawn, New York, serving passengers on the Port Jefferson Branch.
-
D.
Upland station
Upland station is a commuter rail stop in Upland, California, served by Metrolink trains on the San Bernardino Line.
-
E.
Galewood station
Galewood station is a commuter rail stop in Chicago, Illinois, serving Metra's Milwaukee District/West Line and the surrounding Galewood neighborhood.
- 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: Elmwood Station Triple: [CTfastrak, hasStation, Elmwood Station]
Generated description
Elmwood Station is a bus rapid transit stop on Connecticut's CTfastrak corridor serving the Elmwood neighborhood of West Hartford.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elmwood Station Target entity description: Elmwood Station is a bus rapid transit stop on Connecticut's CTfastrak corridor serving the Elmwood neighborhood of West Hartford.
-
A.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
B.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
C.
Greenlawn station
Greenlawn station is a Long Island Rail Road commuter rail stop in Greenlawn, New York, serving passengers on the Port Jefferson Branch.
-
D.
Upland station
Upland station is a commuter rail stop in Upland, California, served by Metrolink trains on the San Bernardino Line.
-
E.
Galewood station
Galewood station is a commuter rail stop in Chicago, Illinois, serving Metra's Milwaukee District/West Line and the surrounding Galewood neighborhood.
- 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_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.