Triple
T6479018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Kills |
E146141
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Great Kills station
Great Kills station is a Staten Island Railway stop serving the Great Kills neighborhood of Staten Island, New York City.
|
E597074
|
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: Great Kills station | Statement: [Great Kills, hasRailwayStation, Great Kills station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Kills station Context triple: [Great Kills, hasRailwayStation, Great Kills station]
-
A.
Tumba station
Tumba station is a railway station in Tumba, Sweden, serving as a local commuter hub on the Stockholm commuter rail network.
-
B.
Gibson station
Gibson station is a Long Island Rail Road commuter rail stop serving the Gibson neighborhood in Valley Stream, New York.
-
C.
McEwan Station
McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
-
D.
Scaleybark station
Scaleybark station is a light rail stop in Charlotte, North Carolina, serving passengers on the city’s LYNX Blue Line.
-
E.
Stockyards Station
Stockyards Station is a historic shopping, dining, and entertainment complex in Fort Worth’s Stockyards area that preserves and showcases the city’s Western and cattle-driving heritage.
- 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: Great Kills station Triple: [Great Kills, hasRailwayStation, Great Kills station]
Generated description
Great Kills station is a Staten Island Railway stop serving the Great Kills neighborhood of Staten Island, New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Great Kills station Target entity description: Great Kills station is a Staten Island Railway stop serving the Great Kills neighborhood of Staten Island, New York City.
-
A.
Tumba station
Tumba station is a railway station in Tumba, Sweden, serving as a local commuter hub on the Stockholm commuter rail network.
-
B.
Gibson station
Gibson station is a Long Island Rail Road commuter rail stop serving the Gibson neighborhood in Valley Stream, New York.
-
C.
McEwan Station
McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
-
D.
Scaleybark station
Scaleybark station is a light rail stop in Charlotte, North Carolina, serving passengers on the city’s LYNX Blue Line.
-
E.
Stockyards Station
Stockyards Station is a historic shopping, dining, and entertainment complex in Fort Worth’s Stockyards area that preserves and showcases the city’s Western and cattle-driving heritage.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4e764c819086828bb841f588e0 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653aa82808190a1e9d420e81d7839 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6542017f4819085efe545dd25060f |
completed | March 27, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c656d3533c819091a4255e354eccab |
completed | March 27, 2026, 10:07 a.m. |
Created at: March 22, 2026, 4:51 p.m.