Triple
T16129774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NJ Transit Main Line |
E391364
|
entity |
| Predicate | usesStation |
P726
|
FINISHED |
| Object |
Garfield station
Garfield station is a commuter rail stop in Garfield, New Jersey, serving passengers on NJ Transit's Main Line.
|
E1199765
|
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: Garfield station | Statement: [NJ Transit Main Line, usesStation, Garfield station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garfield station Context triple: [NJ Transit Main Line, usesStation, Garfield station]
-
A.
Garfield station
Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
-
B.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
-
C.
Clearfield station
Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner line.
-
D.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
E.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
- 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: Garfield station Triple: [NJ Transit Main Line, usesStation, Garfield station]
Generated description
Garfield station is a commuter rail stop in Garfield, New Jersey, serving passengers on NJ Transit's Main Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garfield station Target entity description: Garfield station is a commuter rail stop in Garfield, New Jersey, serving passengers on NJ Transit's Main Line.
-
A.
Garfield station
Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
-
B.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
-
C.
Clearfield station
Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner line.
-
D.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
E.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202075860819088d27d921609a6ce |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffef0f51c8190bc039150af8ebf98 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a00033ff1ac81908a5b42c89f6897bf |
completed | May 10, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0003efbeec8190920d2eb540911f28 |
completed | May 10, 2026, 4:05 a.m. |
Created at: April 10, 2026, 5:01 a.m.